{"id":"W2266620428","doi":"10.3917/rsg.272.0013","title":"Les enjeux liés à la collecte de données en ligne","year":2015,"lang":"fr","type":"article","venue":"La Revue des sciences de gestion/La Revue des sciences de gestion, Direction et gestion","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.151674,0.001557096,0.002053277,0.01120867,0.006614741,0.01446571,0.003326398,0.002494242,0.0132957],"category_scores_gemma":[0.2674083,0.001486923,0.002057849,0.01201822,0.008024256,0.01169628,0.009794216,0.003936901,0.004648339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005936898,"about_ca_system_score_gemma":0.01677098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101915,"about_ca_topic_score_gemma":0.01426227,"domain_scores_codex":[0.706071,0.2182999,0.01817267,0.01239423,0.04277469,0.002287387],"domain_scores_gemma":[0.508118,0.3704446,0.01430513,0.05812679,0.04644446,0.002560969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001406676,0.0007482542,0.03635785,0.01953544,0.001734679,0.001501977,0.2120516,0.00163727,0.02160669,0.1264256,0.03412953,0.5428644],"study_design_scores_gemma":[0.0002508916,0.001164022,0.06510932,0.01317368,0.0006839104,0.001877462,0.09011979,0.002639963,0.02208981,0.07735045,0.7249825,0.0005581536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1590773,0.0166521,0.6652028,0.03134225,0.002551828,0.01506605,0.01410287,0.00211091,0.09389388],"genre_scores_gemma":[0.3564006,0.009425677,0.5544258,0.006325229,0.001089025,0.03328389,0.007558012,0.001548073,0.02994363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.151674,"threshold_uncertainty_score":0.8021383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985167383977468,"score_gpt":0.4055863147052262,"score_spread":0.2070695763074794,"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."}}