{"id":"W6949149736","doi":"10.5281/zenodo.12630513","title":"[PDF/Kindle] Comprendre le québécois en 3 minutes par jour by Geneviève Bréton","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"French; Ile de france; History of literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005389456,0.001005426,0.0006930326,0.000923602,0.002843409,0.003626229,0.001180466,0.001283859,0.8158571],"category_scores_gemma":[0.002474169,0.000582466,0.0005491134,0.0008930256,0.0006164202,0.00217368,0.001878306,0.001977623,0.7114072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669981,"about_ca_system_score_gemma":0.002988251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03723159,"about_ca_topic_score_gemma":0.08425815,"domain_scores_codex":[0.9995655,0.0000372008,0.00001440466,0.0000478503,0.0002694031,0.00006559636],"domain_scores_gemma":[0.9988079,0.00007564467,0.00002480384,0.0001039205,0.0007259225,0.000261844],"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":[0.00002470877,0.0000116153,0.00003881979,0.00004220778,0.000001279847,0.00009015125,0.00003530085,0.00001511074,0.0004309204,0.0006612155,0.9699513,0.02869737],"study_design_scores_gemma":[0.000003947662,0.000007438522,0.0001672722,0.0000262447,7.044246e-7,0.00008340469,0.00004588905,0.00001613282,0.0001442851,0.0001347346,0.9993647,0.000005334121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008169631,0.00184563,0.001746185,0.00449929,0.009824269,0.0003434207,0.003076437,0.004713832,0.973134],"genre_scores_gemma":[0.001140818,0.0005453867,0.0007558976,0.0006825118,0.0002342671,0.00003943501,0.0008397024,0.0007863679,0.9949757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1841429,"threshold_uncertainty_score":0.2626575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322774549118736,"score_gpt":0.2226204030935778,"score_spread":0.1993926576023905,"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."}}