{"id":"W7057952223","doi":"","title":"Les statuts sociométriques et les profils d'acculturation d'élèves d'origine immigrante à Montréal","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Margin (machine learning); Identification (biology); Period (music)","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":[0.0008491518,0.0002619669,0.0002087419,0.0015635,0.004360574,0.003264491,0.0005634052,0.0007053273,0.01835513],"category_scores_gemma":[0.004567737,0.0001656299,0.0001584734,0.002751143,0.002016729,0.0008061673,0.001103946,0.001146855,0.00114599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006975696,"about_ca_system_score_gemma":0.007007033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7060206,"about_ca_topic_score_gemma":0.733596,"domain_scores_codex":[0.999448,0.0001642639,0.00001685234,0.00003032203,0.0001371265,0.0002035312],"domain_scores_gemma":[0.9978387,0.0007982696,0.0003460771,0.00005973648,0.0005753129,0.0003819729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006332458,0.0003903625,0.5895696,0.0002674163,0.00008129986,0.00128504,0.1233222,0.0004502048,0.0006296837,0.1004569,0.04024941,0.1426646],"study_design_scores_gemma":[0.00002514505,0.00006745388,0.833228,0.0002755967,0.00002943682,0.0003480588,0.08360492,0.0002294054,0.0003523164,0.002835956,0.07896971,0.00003403822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966761,0.005521556,0.0001965974,0.0107818,0.0001194216,0.00002360909,0.002162601,0.0000278077,0.08449046],"genre_scores_gemma":[0.9047155,0.004710239,0.0001730006,0.0003611369,0.0001018804,0.00005236175,0.0008023478,0.00002353137,0.08905993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2939794,"threshold_uncertainty_score":0.5914214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004441177805406315,"score_gpt":0.1816595939486348,"score_spread":0.1772184161432285,"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."}}