{"id":"W3044789359","doi":"10.1177/2472555220937653","title":"SLAS and SBI2, a Collaborative Partnership","year":2020,"lang":"en","type":"editorial","venue":"SLAS DISCOVERY","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Informatics; General partnership; Engineering ethics; Political science; Library science; Computer science; Engineering","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":[0.01809737,0.002205918,0.001802855,0.002172219,0.003591623,0.01248273,0.00328986,0.01748547,0.02561384],"category_scores_gemma":[0.03456458,0.0008807816,0.002080644,0.001123951,0.002728774,0.006647218,0.003447123,0.02891949,0.02366751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004527146,"about_ca_system_score_gemma":0.009919995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969814,"about_ca_topic_score_gemma":0.006883765,"domain_scores_codex":[0.9898168,0.00195018,0.0007076981,0.0009912727,0.00565323,0.0008807176],"domain_scores_gemma":[0.9690372,0.01096163,0.001217582,0.0008151756,0.009354194,0.008614237],"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":[0.00002401485,0.000006900236,0.00001358396,0.00009249052,0.000006656053,0.00005568004,0.00001567861,0.00001421977,0.00004050697,0.0006870497,0.9950894,0.003953916],"study_design_scores_gemma":[0.00004766941,0.00001701014,0.00008010924,0.0001654259,0.00001249246,0.00006990665,0.00003443245,0.00006639592,0.0000646193,0.001109696,0.9983221,0.00001021511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004891277,0.003756249,0.0002755859,0.09245333,0.8989165,0.00004125768,0.00009972735,0.0001021012,0.004306339],"genre_scores_gemma":[0.001362072,0.00703313,0.0005436611,0.1082389,0.8194041,0.0001249242,0.0002613968,0.0002327032,0.06279911],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02561384,"threshold_uncertainty_score":0.0957092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274419755957471,"score_gpt":0.2928874793972686,"score_spread":0.2801432818376938,"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."}}