{"id":"W4406669071","doi":"10.1016/b978-0-12-395655-2.50011-6","title":"10.1016/b978-0-12-395655-2.50011-6","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Biochemical effects in animals","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008002345,0.002039632,0.00124907,0.001664649,0.001163391,0.003923574,0.002736053,0.00365758,0.9761264],"category_scores_gemma":[0.001410623,0.0007353156,0.0008014846,0.001612219,0.001042252,0.003906554,0.002815866,0.002038541,0.9884033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007908906,"about_ca_system_score_gemma":0.0007123914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220704,"about_ca_topic_score_gemma":0.002254861,"domain_scores_codex":[0.9996262,0.00002082981,0.00002275294,0.0001241678,0.0001375156,0.00006857374],"domain_scores_gemma":[0.9987274,0.0004153545,0.00009199969,0.0001737509,0.0002283582,0.0003631588],"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":[0.0001455979,0.0001070369,0.0002724794,0.000442623,0.00001598736,0.0001241874,0.00007685176,0.0003235231,0.00295045,0.006811533,0.2816044,0.7071252],"study_design_scores_gemma":[0.00001581582,0.00004579267,0.000419269,0.0002607836,0.000007176128,0.0002252935,0.00006597686,0.0001127697,0.0004242013,0.001390891,0.9970203,0.00001167031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001948729,0.0005899274,0.001174726,0.0002698782,0.0001740412,0.00004085337,0.0005599606,0.0009425859,0.9960531],"genre_scores_gemma":[0.0005029861,0.0003153697,0.0004696338,0.00009929248,0.00003697117,0.00003128375,0.0003868786,0.0002249572,0.9979326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02387357,"threshold_uncertainty_score":0.03405267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074255651801351,"score_gpt":0.2029651299981913,"score_spread":0.1922225734801778,"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."}}