{"id":"W1608976903","doi":"10.1126/science.304.5673.942a","title":"Consortium Tackles Mouse Regulome","year":2004,"lang":"en","type":"article","venue":"Science","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Occupational Therapists","funders":"","keywords":"Computational biology; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005196746,0.001306013,0.0008421013,0.003004497,0.003800326,0.002958408,0.002459165,0.002332038,0.02713397],"category_scores_gemma":[0.001001249,0.0006610554,0.001044302,0.001459357,0.001097384,0.001151395,0.004273951,0.002913357,0.01019607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004755902,"about_ca_system_score_gemma":0.008168961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04522625,"about_ca_topic_score_gemma":0.1282138,"domain_scores_codex":[0.9974279,0.0002533522,0.00007115051,0.0005608121,0.001042783,0.0006440829],"domain_scores_gemma":[0.9972767,0.0001441528,0.0001280912,0.0004259332,0.0006457242,0.001379329],"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":[0.001161044,0.0004809897,0.004971766,0.0003868489,0.0001625375,0.0008336165,0.0003582496,0.001032443,0.3263277,0.06312539,0.4651851,0.1359743],"study_design_scores_gemma":[0.000155898,0.0002445459,0.005748417,0.0001579371,0.00008282374,0.0007835667,0.0002862147,0.001935874,0.07428721,0.005360636,0.9109059,0.00005084635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1637893,0.0274294,0.2880633,0.07053693,0.009456931,0.002980324,0.088836,0.02480198,0.3241058],"genre_scores_gemma":[0.1458571,0.01178551,0.1541561,0.01238198,0.001334442,0.002583221,0.1372641,0.005036225,0.5296013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04522625,"threshold_uncertainty_score":0.09077215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895224959710099,"score_gpt":0.2651372704057148,"score_spread":0.2592420454460047,"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."}}