{"id":"W7010454990","doi":"","title":"Impulsions coniques, considérations théoriques et expérimentales","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Noise (video); Point (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001532713,0.0007599092,0.0004941162,0.0022171,0.003605338,0.01081635,0.001100186,0.001276276,0.1903572],"category_scores_gemma":[0.005311042,0.0004143548,0.0003651067,0.004217932,0.002853689,0.002013882,0.001709368,0.002509762,0.04044675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01087096,"about_ca_system_score_gemma":0.01311856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1958866,"about_ca_topic_score_gemma":0.3222245,"domain_scores_codex":[0.9981967,0.0002316845,0.00006266966,0.0001470125,0.001125784,0.0002361068],"domain_scores_gemma":[0.9965484,0.0007541199,0.0001555633,0.0004528965,0.00158995,0.0004991754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002842291,0.0001094956,0.001295988,0.0003029166,0.00001226885,0.0001708755,0.001613841,0.0004643452,0.00120714,0.2365658,0.4193376,0.3386354],"study_design_scores_gemma":[0.00001232285,0.0000167511,0.002203928,0.00009333278,0.000004813902,0.0001053795,0.0006013032,0.0002363592,0.0003770838,0.008642267,0.9876965,0.00001002197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005001535,0.008691,0.003029577,0.003953504,0.002132782,0.00004882391,0.0007713602,0.0005498817,0.9758216],"genre_scores_gemma":[0.01642963,0.003349758,0.0011352,0.0002313853,0.0002941772,0.00002261832,0.0002610631,0.0001795832,0.9780965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1958866,"threshold_uncertainty_score":0.6368084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003978840334546517,"score_gpt":0.1676137345212641,"score_spread":0.1636348941867176,"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."}}