{"meta":{"query_hash":"b112e36b0506","filters":{"venue":"WFNOS 2022 Abstract Book"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b112e36b0506","api":"https://metacan.xera.ac/api/v1/cohort?venue=WFNOS+2022+Abstract+Book"},"results":[{"id":"W4293204083","doi":"10.14791/btrt.2022.10.f-1249","title":"Synergistic effect by targeting TTFields induced cell cycle effects","year":2022,"lang":"en","type":"article","venue":"WFNOS 2022 Abstract Book","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Christie (Canada)","funders":"","keywords":"Computer science","score_opus":0.005095237176135544,"score_gpt":0.24336988910610557,"score_spread":0.23827465192997002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293204083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8764369,0.017252568,0.015496784,0.0015265218,0.0018467162,0.000466473,0.0031948132,0.0014515265,0.08232784],"genre_scores_gemma":[0.952319,0.0077505345,0.0046195188,0.00037835856,0.00010816161,0.00017422678,0.0010783363,0.00011843857,0.033453457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995005,0.000004991388,0.0000023632665,0.000010684598,0.000014586911,0.000017398577],"domain_scores_gemma":[0.9999672,0.0000071299846,0.000004165445,0.0000043368163,0.000004401752,0.000012687936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007996094,0.00044487286,0.00041028063,0.00029634507,0.00027012147,0.00038038607,0.0002836864,0.00032363296,0.014024079],"category_scores_gemma":[0.0001136735,0.00010407311,0.000436486,0.00028981638,0.00015309687,0.00026026162,0.0002794562,0.00085109187,0.0013821081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019846375,0.00048350485,0.0002916743,0.00045705386,0.00007352105,0.0001780772,0.000038105314,0.0026324294,0.9167383,0.00289241,0.006646344,0.06758396],"study_design_scores_gemma":[0.0004943934,0.0034713952,0.0018322789,0.000057642923,0.0002260174,0.0004491259,0.00007655311,0.0044535697,0.9279993,0.001364831,0.05953742,0.00003745385],"about_ca_topic_score_codex":0.0012960644,"about_ca_topic_score_gemma":0.0032074507,"teacher_disagreement_score":0.014024079,"about_ca_system_score_codex":0.00035062473,"about_ca_system_score_gemma":0.00042367165,"threshold_uncertainty_score":0.046915233},"labels":[],"label_agreement":null},{"id":"W4293204882","doi":"10.14791/btrt.2022.10.f-1086","title":"Distinct cellular processes are associated with tumor type-related cell subpopulations in pediatric central nervous system tumors","year":2022,"lang":"en","type":"article","venue":"WFNOS 2022 Abstract Book","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Central nervous system; Biology; Neuroscience; Computer science","score_opus":0.009024177214112307,"score_gpt":0.20589471775026705,"score_spread":0.19687054053615474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293204882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773164,0.0036520162,0.002211173,0.000054382224,0.000017435592,0.000025062232,0.00078955846,0.000060121856,0.005458614],"genre_scores_gemma":[0.99286723,0.001883481,0.0014395809,0.00002791114,0.000019815532,0.000033696168,0.00084371644,0.000023084396,0.0028616148],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99991727,0.000009073815,0.000006962352,0.000019165533,0.000024675257,0.000022868331],"domain_scores_gemma":[0.9998909,0.000034729142,0.00003104348,0.000006267921,0.000019456476,0.00001763374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109377615,0.00011820245,0.00016565577,0.0005993736,0.00016614204,0.00037455527,0.00013318879,0.00015384144,0.0021205663],"category_scores_gemma":[0.00020767686,0.000086046675,0.00012767868,0.0005339918,0.00013741961,0.00028267206,0.00023688855,0.00021950631,0.0004999447],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021284265,0.00009918881,0.33569485,0.0003124657,0.000083310326,0.002082054,0.0009887078,0.0004801817,0.57804656,0.0034014783,0.0014846792,0.07519807],"study_design_scores_gemma":[0.000018426515,0.00032169977,0.92542964,0.000029907762,0.00008907681,0.005130362,0.0010714111,0.00076878455,0.05523679,0.0009679978,0.010920527,0.000015330514],"about_ca_topic_score_codex":0.0005775655,"about_ca_topic_score_gemma":0.001014022,"teacher_disagreement_score":0.0021205663,"about_ca_system_score_codex":0.00020933308,"about_ca_system_score_gemma":0.00014638815,"threshold_uncertainty_score":0.007093966},"labels":[],"label_agreement":null}]}