{"id":"W2133837015","doi":"10.1177/1087057103257213","title":"Invited Perspective: Screening in Academe: A Perspective on Implementation of University-Based Small Molecule Screening","year":2003,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs; McMaster University","keywords":"Perspective (graphical); Small molecule; Computer science; Computational biology; Sociology; Chemistry; Biology; Artificial intelligence; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003990666,0.0001541309,0.0001588218,0.0002525753,0.0000646362,0.00002489594,0.0001951167,0.0001517508,0.00002032283],"category_scores_gemma":[0.0003154507,0.0001566122,0.0001099129,0.0003160949,0.0001703579,0.0000144171,0.00007625482,0.0001991978,0.000002087306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000875956,"about_ca_system_score_gemma":0.0001593342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005634823,"about_ca_topic_score_gemma":0.0004133777,"domain_scores_codex":[0.9986708,0.0001806078,0.000221859,0.0003141287,0.0002842477,0.0003283388],"domain_scores_gemma":[0.9993804,0.00004327698,0.0001061199,0.0002100272,0.0001674102,0.00009276355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005429139,0.001772442,0.1366226,0.0004375544,0.001101433,0.0001201547,0.006590963,0.004500582,0.7782626,0.04697751,0.00629855,0.01188654],"study_design_scores_gemma":[0.006452695,0.001914494,0.04316889,0.0001519761,0.00005140084,0.000004313677,0.09031799,0.001006611,0.8500447,0.0004933229,0.00574442,0.0006492195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582021,0.0001985496,0.03719755,0.001019194,0.00004601626,0.0003735762,0.00008361305,0.000009067254,0.00287028],"genre_scores_gemma":[0.9961969,0.00008730649,0.002878104,0.0005605207,0.00003280782,0.000003521698,0.00008088011,0.00001519086,0.0001447353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0934537,"threshold_uncertainty_score":0.6386461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188105171240375,"score_gpt":0.310703521569789,"score_spread":0.2888224698573853,"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."}}