{"id":"W6926310554","doi":"10.24443/usi-arc-bib_fcor.3442","title":"Montréal","year":2005,"lang":"fr","type":"other","venue":"USI-Biblioteca","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003796385,0.0008470501,0.001132595,0.003542598,0.000169179,0.0001405326,0.0004735837,0.00159745,0.2722246],"category_scores_gemma":[0.0004110369,0.0006682833,0.0004442583,0.003443735,0.0002913368,0.0001333576,0.0002253948,0.001315886,0.02995122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096974,"about_ca_system_score_gemma":0.0002597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230069,"about_ca_topic_score_gemma":0.001001765,"domain_scores_codex":[0.996486,0.0001127348,0.0006581215,0.001065949,0.0005559829,0.001121191],"domain_scores_gemma":[0.9978215,0.0001151889,0.0003288312,0.001087964,0.0001711571,0.0004753829],"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":[0.0001110227,0.0002666851,0.00003789694,0.0004043712,0.0003023144,0.000183881,0.00007379428,0.000004165245,0.04420668,0.0008725307,0.6328005,0.3207362],"study_design_scores_gemma":[0.0008891179,0.0002140855,0.0009085385,0.001544307,0.0005742564,0.0001972688,0.00002913307,0.00007851583,0.01979247,0.00002531101,0.9749874,0.000759569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001977382,0.2034897,0.00005460805,0.02931298,0.005277213,0.001265331,0.0002254661,0.0002775821,0.7581198],"genre_scores_gemma":[0.01450764,0.02609716,0.002231188,0.003313626,0.02345308,0.000002319711,0.00006819086,0.0004437434,0.9298831],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.342187,"threshold_uncertainty_score":0.9996987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009485693327213126,"score_gpt":0.23273554730635,"score_spread":0.2232498539791369,"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."}}