{"id":"W7054760984","doi":"","title":"Analyse objective du système BIXI à Montréal","year":2011,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Set (abstract data type); Context (archaeology); Identification (biology); Perspective (graphical)","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":[],"consensus_categories":[],"category_scores_codex":[0.00115622,0.002491021,0.000999956,0.001748208,0.001206282,0.002944943,0.0008589169,0.001142822,0.02868494],"category_scores_gemma":[0.002469935,0.000410298,0.0009504288,0.0008029442,0.0006383337,0.001013688,0.0006687511,0.00112325,0.003657022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007832821,"about_ca_system_score_gemma":0.003916168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4326876,"about_ca_topic_score_gemma":0.3640113,"domain_scores_codex":[0.9982469,0.0003407873,0.00003226108,0.0004373299,0.0006874731,0.000255234],"domain_scores_gemma":[0.9990846,0.0003088775,0.00004255891,0.00004724677,0.0004567392,0.00006005272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001789331,0.0001763491,0.01086377,0.001057176,0.0006550367,0.0006425236,0.0004221676,0.399888,0.09280346,0.04660396,0.02946097,0.4156373],"study_design_scores_gemma":[0.0002356971,0.0005858749,0.05120662,0.000128611,0.000212885,0.0002473061,0.0003216705,0.8478481,0.04122081,0.004023116,0.05382373,0.0001456352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2803131,0.007276909,0.5419073,0.001852763,0.0007846896,0.0008246947,0.008201089,0.009429655,0.1494098],"genre_scores_gemma":[0.7773361,0.001281916,0.09696752,0.0002081013,0.0001662283,0.0004213302,0.003992829,0.000819666,0.1188062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5673125,"threshold_uncertainty_score":0.8603381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139015964447799,"score_gpt":0.1906310330007578,"score_spread":0.18249201703631,"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."}}