{"id":"W4406645356","doi":"10.1016/b978-84-9022-657-5.00067-8","title":"10.1016/b978-84-9022-657-5.00067-8","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001219093,0.000484048,0.0008317631,0.0005259865,0.00008577665,0.00003866777,0.0001654821,0.0004124368,0.9994741],"category_scores_gemma":[0.00002942779,0.0004614078,0.0005517677,0.00009913444,0.00009000259,0.00004981011,0.00006654128,0.0005122172,0.9976189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360005,"about_ca_system_score_gemma":0.0001234073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552468,"about_ca_topic_score_gemma":5.641675e-7,"domain_scores_codex":[0.9980252,0.00001731069,0.0004951473,0.0005649262,0.0005419981,0.0003553568],"domain_scores_gemma":[0.9984965,0.00004313112,0.000135654,0.0006972044,0.0001401913,0.0004873151],"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":[0.0001704786,0.00006333533,1.204848e-8,0.00004756225,0.0002644778,0.0002211285,0.00000837553,0.000003566579,0.00006621557,0.00005253652,0.6778669,0.3212355],"study_design_scores_gemma":[0.0006018683,0.0002431234,0.000001183602,0.001064725,0.0004660359,0.00008393553,5.186626e-7,0.00002972941,0.00006078669,0.0001212488,0.9968581,0.000468759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001993801,0.0001604165,0.000001284092,0.00111304,0.000001395034,0.0003260241,0.0001826491,0.0002410174,0.9979722],"genre_scores_gemma":[0.000004917963,0.000001844327,0.00006861724,0.000676094,0.0007540084,0.0000171512,0.0007886199,0.0001250352,0.9975637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3207667,"threshold_uncertainty_score":0.9997838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009881442352477043,"score_gpt":0.195447923646598,"score_spread":0.185566481294121,"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."}}