{"id":"W7068819874","doi":"","title":"Gathering","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Data collection; Process (computing); Work (physics); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000002211366,0.000142964,0.000146645,0.00001016503,0.00003896272,0.000006315794,0.0001570212,0.00004715259,0.0001998641],"category_scores_gemma":[7.665475e-7,0.0001430785,0.00002020052,0.00002567544,0.00003898451,0.000002312707,0.0001039332,0.00005338868,3.311349e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.537497e-7,"about_ca_system_score_gemma":0.0004409937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324314,"about_ca_topic_score_gemma":0.03550705,"domain_scores_codex":[0.9992295,0.00001509877,0.0001136934,0.0002019488,0.000291286,0.000148499],"domain_scores_gemma":[0.9995767,0.000007347169,0.00009913716,0.0002133247,1.106372e-7,0.0001034109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005620337,0.00002294734,0.001280829,0.0001496546,0.000125032,0.00001453986,0.000006252978,0.000005955031,0.662262,0.01426009,0.3101405,0.01167602],"study_design_scores_gemma":[0.0001046254,0.0000105305,0.0004760572,0.00004042088,0.00001079797,0.00000332049,0.00008243643,0.000004633113,0.07922681,0.00003736033,0.9198558,0.0001472078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002011445,0.001837292,0.0001738549,0.0003551429,0.0001120163,0.0001200767,0.0003578137,0.000005924129,0.9950264],"genre_scores_gemma":[0.03113515,0.002241786,0.001066047,0.0007594223,0.0003327999,0.00001001982,0.00003966707,0.0001363709,0.9642788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6097153,"threshold_uncertainty_score":0.9820924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001999701208031775,"score_gpt":0.139106393276641,"score_spread":0.1371066920686092,"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."}}