{"id":"W2356258206","doi":"10.21432/t2w32v","title":"CJLT Special Issue Editorial | Éditorial du numéro spécial de la RCAT","year":2016,"lang":"fr","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01444991,0.003905304,0.006928014,0.01131507,0.006913951,0.01776606,0.004889972,0.02444031,0.06039477],"category_scores_gemma":[0.1080051,0.001846749,0.004833498,0.004818663,0.004870862,0.005329184,0.003393199,0.01965495,0.02969035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561187,"about_ca_system_score_gemma":0.01488669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394585,"about_ca_topic_score_gemma":0.03228988,"domain_scores_codex":[0.9717975,0.002869342,0.003905335,0.002189656,0.01677406,0.002463963],"domain_scores_gemma":[0.8832775,0.02191883,0.0100063,0.00451722,0.06429981,0.01598039],"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":[0.00001778668,0.000007175553,0.00002913547,0.00009669857,0.000006952464,0.00006183971,0.000005211556,0.00001028097,0.00001526647,0.0001266458,0.9972447,0.002378229],"study_design_scores_gemma":[0.00006802339,0.00002010967,0.0004561927,0.0007686852,0.00004284314,0.000335627,0.00004831605,0.0001076177,0.0000777334,0.0006652393,0.9973745,0.00003513593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003124676,0.002852334,0.00005449112,0.03604486,0.9584545,0.00002802363,0.00007255397,0.0000548965,0.002406969],"genre_scores_gemma":[0.0005241557,0.002584364,0.0001008501,0.01859592,0.9670956,0.00005241165,0.00006636406,0.00007493101,0.01090554],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9860542,"threshold_uncertainty_score":0.2020406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0042617957074001,"score_gpt":0.2450886526027043,"score_spread":0.2408268568953043,"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."}}