{"id":"W2472199387","doi":"10.1021/ac022079r","title":"Peer Reviewed: Prometrics Approaches in Drug Discovery","year":2002,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada","funders":"","keywords":"Chemistry; Drug discovery; Drug; Peer review; Computational biology; Pharmacology; Nanotechnology; Biochemistry","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":[0.02654302,0.001405654,0.001934126,0.009876554,0.002645701,0.01091108,0.00367153,0.002997417,0.237791],"category_scores_gemma":[0.08010939,0.001433091,0.001375842,0.009092342,0.002293911,0.009250131,0.005976816,0.004593755,0.1736547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426578,"about_ca_system_score_gemma":0.007398197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102818,"about_ca_topic_score_gemma":0.001981291,"domain_scores_codex":[0.9819707,0.007535818,0.001250886,0.001304114,0.007464463,0.0004740734],"domain_scores_gemma":[0.9456581,0.02276577,0.002224667,0.006980456,0.01841427,0.003956754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005988115,0.00006463504,0.0005159816,0.0008791161,0.00004197235,0.00007397981,0.0001742307,0.0002975745,0.0004352426,0.03934047,0.6737571,0.2843598],"study_design_scores_gemma":[0.00004049301,0.00003270573,0.0005229554,0.0004027424,0.0000195211,0.0001494223,0.0001744529,0.001769045,0.0005575099,0.06385271,0.9324482,0.00003032824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002986514,0.0369448,0.2778926,0.126559,0.02331524,0.00291252,0.02096011,0.03341082,0.4750183],"genre_scores_gemma":[0.08209547,0.06855901,0.4084705,0.0166176,0.01925128,0.004383506,0.02951379,0.01000862,0.3611003],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.237791,"threshold_uncertainty_score":0.7954903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699947463810699,"score_gpt":0.3694919698162381,"score_spread":0.1994972234351682,"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."}}