{"id":"W4312573089","doi":"10.22374/cjgim.v17i1.612","title":"Colours in Medicine","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of General Internal Medicine","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health","funders":"","keywords":"Medicine; Traditional medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002684787,0.0009354807,0.0006632209,0.002201573,0.002944358,0.009621726,0.001242851,0.003623005,0.0373994],"category_scores_gemma":[0.01096951,0.0004188568,0.0008007983,0.001715609,0.01485771,0.008675075,0.00541439,0.005156829,0.009830426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002851245,"about_ca_system_score_gemma":0.001872794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004220437,"about_ca_topic_score_gemma":0.004115539,"domain_scores_codex":[0.99742,0.00130276,0.00009405308,0.0003243054,0.0006837083,0.0001752674],"domain_scores_gemma":[0.996274,0.002033431,0.0002449563,0.0003265077,0.0006335136,0.0004875466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001321987,0.00003582254,0.001349815,0.0009120521,0.00005258001,0.0002338794,0.00466254,0.000451232,0.0009260853,0.5922113,0.1976854,0.2013471],"study_design_scores_gemma":[0.00001757845,0.0000403687,0.0008454511,0.0007119277,0.00002238421,0.0008816964,0.001704194,0.0002190516,0.0003555986,0.2608871,0.7342708,0.00004380363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007571083,0.2679813,0.04938473,0.2109497,0.02912638,0.0001138824,0.0007670324,0.001020795,0.4330852],"genre_scores_gemma":[0.3613768,0.2440007,0.06645338,0.121531,0.0248633,0.0003616244,0.0006287678,0.001187244,0.1795971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0373994,"threshold_uncertainty_score":0.1251135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03510432520653858,"score_gpt":0.3229275127429609,"score_spread":0.2878231875364223,"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."}}