{"id":"W6950052835","doi":"10.5281/zenodo.7888865","title":"Rosa sherardii Davies","year":2014,"lang":"lt","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Face (sociological concept); Perspective (graphical); Context (archaeology); Focus (optics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400405,0.0008708793,0.0006020886,0.001261964,0.001025555,0.001970372,0.0009528769,0.00201413,0.112878],"category_scores_gemma":[0.003819001,0.0003211915,0.0003659094,0.0004626891,0.0006104829,0.001185954,0.001501702,0.004465386,0.09754468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113226,"about_ca_system_score_gemma":0.001804998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003109867,"about_ca_topic_score_gemma":0.005091983,"domain_scores_codex":[0.9991516,0.0001109099,0.00003251649,0.0002211564,0.0003920766,0.00009170215],"domain_scores_gemma":[0.9972292,0.00038948,0.0001696575,0.000147595,0.001120779,0.0009433303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002373806,0.000009342299,0.0000888818,0.00005612055,0.000003227393,0.00006665083,0.00002240802,0.00002055811,0.0002126727,0.002266154,0.9567938,0.0404364],"study_design_scores_gemma":[0.000002817736,0.000005767175,0.0001010572,0.00003987028,0.000001935044,0.0001962465,0.00001430318,0.00001129155,0.0001239708,0.000345764,0.9991531,0.000003818732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001448944,0.131004,0.005282332,0.4172871,0.1727986,0.0001211504,0.00130227,0.001569178,0.2691864],"genre_scores_gemma":[0.01167614,0.05738694,0.002599257,0.07462771,0.02716899,0.00009991573,0.0005265405,0.0008392424,0.8250754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.112878,"threshold_uncertainty_score":0.3776144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013349967546066,"score_gpt":0.2904047175538307,"score_spread":0.25027121787837,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}