{"id":"W1602246329","doi":"","title":"LES ANTÉCÉDENTS DE LA SATISFACTION ENVERS LA SÉLECTION D'UN PRODUIT EN CONTEXTE DE CYBERMAGASINAGE: UN MODÈLE DE 'FIT' COGNITIF 1","year":2007,"lang":"fr","type":"article","venue":"ASAC","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Brock University","funders":"","keywords":"Humanities; Psychology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006382438,0.0002842238,0.0002868117,0.0004211377,0.0005394688,0.000256211,0.0004264427,0.0009595191,0.001343969],"category_scores_gemma":[0.001633687,0.0003034814,0.0001578294,0.0007658218,0.0006160691,0.0005233367,0.0001132252,0.000932335,0.000498911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749726,"about_ca_system_score_gemma":0.0002239928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791193,"about_ca_topic_score_gemma":0.0005114683,"domain_scores_codex":[0.9962381,0.0012535,0.000551592,0.0005899291,0.0005995267,0.0007673997],"domain_scores_gemma":[0.9974551,0.001378899,0.0002876717,0.0004226859,0.0002057822,0.0002499231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000807993,0.0002028348,0.4207734,0.000007699547,0.00003760588,0.0001896641,0.001311358,0.00004560268,0.007401682,0.002583604,0.001387119,0.5659786],"study_design_scores_gemma":[0.001093866,0.00009886022,0.9276617,0.00005790114,0.0001230679,0.0007846971,0.001657761,0.0003844505,0.03390371,0.009802914,0.0241316,0.0002995002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202766,0.0006739688,0.07211941,0.001565986,0.0007345215,0.0002933129,0.00003431025,0.0002643204,0.004037596],"genre_scores_gemma":[0.9854383,0.0003709103,0.006020793,0.000399954,0.0001267428,0.0000213163,0.000005421009,0.00003571877,0.007580809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5656791,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517404369174241,"score_gpt":0.3815152583527353,"score_spread":0.3063412146609928,"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."}}