{"id":"W4313451781","doi":"10.31468/dwr.1017","title":"CNESST : un site Web à rebâtir","year":2022,"lang":"fr","type":"article","venue":"Discourse and Writing/Rédactologie","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web site; World Wide Web; Computer science; The Internet","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002377558,0.001168104,0.001120005,0.002353504,0.001527642,0.007882279,0.001680022,0.003435651,0.6326439],"category_scores_gemma":[0.009368462,0.0006000155,0.0007025362,0.002555669,0.0008327624,0.008228724,0.003935688,0.003563343,0.5128454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069081,"about_ca_system_score_gemma":0.003378759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548798,"about_ca_topic_score_gemma":0.01675047,"domain_scores_codex":[0.9979334,0.0003486572,0.00008802397,0.0002320786,0.001140224,0.0002575836],"domain_scores_gemma":[0.9937908,0.0009900394,0.0002368098,0.0009896279,0.002247074,0.001745539],"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":[0.00006431007,0.00002609529,0.00008653495,0.00008578131,0.000003020035,0.00004371861,0.00005706546,0.00002894977,0.0002584927,0.002376367,0.9491398,0.04782983],"study_design_scores_gemma":[0.00001331084,0.000006629785,0.0002550614,0.00004626247,0.0000010697,0.00003151061,0.00003725669,0.00008147487,0.0001926814,0.0005419615,0.9987826,0.00001026553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001386672,0.005303592,0.007360521,0.01039101,0.009640895,0.0003187637,0.02128932,0.04565144,0.8986577],"genre_scores_gemma":[0.006795892,0.001629746,0.003602022,0.002023281,0.001022432,0.0002189954,0.01681824,0.01610164,0.9517878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6326439,"threshold_uncertainty_score":0.5239888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09637473733124767,"score_gpt":0.4246900017499026,"score_spread":0.3283152644186549,"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."}}