{"id":"W7008663983","doi":"","title":"Contribution d'experts, Ã  l'aide de l'Internet, au dÃ©veloppement des compÃ©tences discursives d'Ã©lÃ¨ves de 6e annÃ©e","year":2001,"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":"Set (abstract data type); Identification (biology); Noise (video); Frame (networking); Measure (data warehouse)","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":[0.006132213,0.0008090163,0.000413361,0.004435433,0.004789956,0.007336413,0.001183234,0.004383082,0.09213258],"category_scores_gemma":[0.01465785,0.0006127995,0.0005302575,0.002110821,0.001440772,0.002912241,0.00362008,0.00265138,0.02938347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007865461,"about_ca_system_score_gemma":0.034644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1535924,"about_ca_topic_score_gemma":0.194613,"domain_scores_codex":[0.9944419,0.000688455,0.0002082549,0.0004276145,0.003147375,0.00108631],"domain_scores_gemma":[0.9660811,0.003958839,0.0006110512,0.001535788,0.02048435,0.007328805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001460597,0.0001252475,0.002647556,0.0003094526,0.000009309504,0.0003661005,0.002072276,0.0001425842,0.001263337,0.007429709,0.8712453,0.1142432],"study_design_scores_gemma":[0.000006405528,0.000009718892,0.003898903,0.0000797887,0.000006519655,0.0000815157,0.0008430342,0.00004960822,0.0004772717,0.0003950432,0.9941446,0.000007529109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02098401,0.01302104,0.003935668,0.1369669,0.02266473,0.0005969005,0.005592483,0.000754812,0.7954835],"genre_scores_gemma":[0.01231742,0.003292992,0.001751324,0.004168874,0.001069578,0.00006686379,0.001247978,0.0002285445,0.9758565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1535924,"threshold_uncertainty_score":0.3082142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005992418826688235,"score_gpt":0.1682529841890916,"score_spread":0.1622605653624034,"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."}}