{"id":"W2145256943","doi":"10.1093/neuonc/nos225","title":"LAB-MOLECULAR EPIDEMIOLOGY","year":2012,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Epidemiology; Computer science; Computational biology; Medicine; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004256238,0.0001721997,0.0004415601,0.00008091288,0.0000609652,0.000004158098,0.0002724761,0.000330206,0.001683777],"category_scores_gemma":[0.0009781414,0.0001575929,0.0001622712,0.0001938123,0.0001188423,0.00005430108,0.0001333216,0.0003737116,0.000333845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381062,"about_ca_system_score_gemma":0.00006831886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004838837,"about_ca_topic_score_gemma":0.000002548403,"domain_scores_codex":[0.9984708,0.0001855881,0.0003429837,0.000280617,0.00009304441,0.0006270122],"domain_scores_gemma":[0.997982,0.001176039,0.00017386,0.0003858381,0.00004052375,0.0002416909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004464241,0.0002708999,0.02417114,0.00002042218,0.00009027965,0.00007821864,0.00009332973,0.00002428014,0.9087716,0.0218907,0.003928091,0.0406164],"study_design_scores_gemma":[0.0005627254,0.0001193149,0.00101578,0.000003096585,0.0001135759,0.0001644057,0.00009912154,0.0005013031,0.03158442,0.001820716,0.963752,0.000263588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803104,0.002384267,0.002451588,0.001801373,0.0008226297,0.00005632821,0.00001609625,0.0001583711,0.211999],"genre_scores_gemma":[0.9952393,0.0001149741,0.0005883932,0.003077833,0.0006494391,0.00001903642,0.00002002492,0.00003300007,0.0002580218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9598238,"threshold_uncertainty_score":0.9992288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668922759514117,"score_gpt":0.3275943521789436,"score_spread":0.2909051245838025,"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."}}