{"id":"W6926491553","doi":"10.24443/usi-arc-bib_fcor.2931","title":"Montréal","year":2022,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004995392,0.0007434739,0.001047228,0.003803099,0.0003219333,0.000116175,0.0005730669,0.0008859151,0.6448582],"category_scores_gemma":[0.0004894194,0.0006211536,0.0004521087,0.004811764,0.000234129,0.00009509656,0.0005465774,0.001741546,0.01099317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010462,"about_ca_system_score_gemma":0.0003047796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947135,"about_ca_topic_score_gemma":0.0004775919,"domain_scores_codex":[0.9963901,0.0002024553,0.0005882628,0.001107365,0.0007036752,0.00100815],"domain_scores_gemma":[0.9978731,0.0001449688,0.00033005,0.001161415,0.0001082339,0.0003822504],"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":[0.0001617802,0.0003186443,0.0001326562,0.0005439146,0.0003973936,0.0004986803,0.0001210047,0.000005842651,0.03305418,0.00134353,0.8633704,0.1000519],"study_design_scores_gemma":[0.0008227649,0.0003541768,0.0007131028,0.0004663205,0.000558288,0.0002297763,0.0001053262,0.00004541385,0.00550614,0.00006743233,0.9904162,0.0007150872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002878295,0.1694122,0.00001879815,0.02369054,0.008021894,0.001521758,0.0004705579,0.000288827,0.7936971],"genre_scores_gemma":[0.0114288,0.01564657,0.0007765162,0.003672545,0.008854656,0.000006497518,0.0001821729,0.0004909752,0.9589413],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.633865,"threshold_uncertainty_score":0.999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043117879978762,"score_gpt":0.2271532886534744,"score_spread":0.2167221098536868,"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."}}