{"id":"W6907776223","doi":"10.24443/usi-arc-bib_fcor.3420","title":"Montréal","year":2000,"lang":"fr","type":"other","venue":"USI-Biblioteca","topic":"","field":"","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","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"category_scores_codex":[0.0004606064,0.001954201,0.001732685,0.02261616,0.0003570703,0.0006877538,0.001729245,0.003169865,0.533349],"category_scores_gemma":[0.000119268,0.002129409,0.0008627742,0.02152723,0.0007929876,0.0004509544,0.0004054057,0.002274044,0.6882803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006019968,"about_ca_system_score_gemma":0.0005873791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009818919,"about_ca_topic_score_gemma":0.007626069,"domain_scores_codex":[0.9923495,0.0005285391,0.001135233,0.00198897,0.001631842,0.002365912],"domain_scores_gemma":[0.9952322,0.0001976379,0.0007292321,0.002763563,0.0001243865,0.000952937],"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":[0.0002078618,0.0006101365,0.0001898413,0.0002140039,0.0005725911,0.0007350097,0.0002907925,0.0003596261,0.001797396,0.001968572,0.9391835,0.05387064],"study_design_scores_gemma":[0.001737585,0.0002221815,0.001865127,0.001022973,0.0005111239,0.0002626156,0.00002763843,0.0007553126,0.0004680392,0.0004788403,0.9904718,0.002176735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00103821,0.07530051,0.0001334994,0.001265139,0.002297084,0.001302717,0.002091237,0.001125435,0.9154462],"genre_scores_gemma":[0.001462883,0.01209257,0.002303625,0.0009857293,0.005226266,0.00008973484,0.0003111882,0.004942734,0.9725853],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1549314,"threshold_uncertainty_score":0.9993201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009031118325180247,"score_gpt":0.2228510997148324,"score_spread":0.2138199813896522,"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."}}