{"id":"W4406520664","doi":"10.1016/s0765-2046(97)89915-7","title":"10.1016/s0765-2046(97)89915-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gene; Biology; Computational biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004343402,0.000144171,0.0002758792,0.0001833434,0.00008977054,0.00001977907,0.0002157567,0.0000705571,0.9979486],"category_scores_gemma":[0.0001981123,0.0001100466,0.00006965003,0.0005493079,0.0001449266,0.00007332744,0.00003744541,0.0002138522,0.9955097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000627075,"about_ca_system_score_gemma":0.000150638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006267841,"about_ca_topic_score_gemma":3.907402e-7,"domain_scores_codex":[0.9982573,0.00003075861,0.0002014214,0.0003258141,0.0006683992,0.000516241],"domain_scores_gemma":[0.998695,0.00006474674,0.00001925424,0.0004493076,0.0001089051,0.0006627648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002176814,0.00008700105,0.000002142003,0.00001625343,0.00001322226,0.00005926947,0.00005841546,0.000002186397,0.0004403067,8.059304e-7,0.3148529,0.6842498],"study_design_scores_gemma":[0.001079614,0.0007190146,0.0003796212,0.00008401963,0.00003233298,0.00007634918,0.00001047266,0.0001642118,0.0004447985,0.000005842528,0.9968827,0.0001210356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003701669,0.0002190308,0.000001031721,0.002269576,0.000003770389,0.0003849403,0.000004697861,0.0001027213,0.9933125],"genre_scores_gemma":[0.0006381054,0.000002952262,0.000131545,0.0004302342,0.0005277564,0.00002241375,0.00001521522,0.00002191252,0.9982099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6841288,"threshold_uncertainty_score":0.4487568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834643648038664,"score_gpt":0.2571144349099879,"score_spread":0.2387679984296012,"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."}}