{"id":"W2209045548","doi":"10.3917/riges.403.0096","title":"L’inadéquation du mobile","year":2015,"lang":"fr","type":"article","venue":"Gestion","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Miracle; Philosophy","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":[0.00739936,0.0007726821,0.0005595717,0.002773427,0.005119001,0.01311575,0.001989692,0.005283677,0.01869603],"category_scores_gemma":[0.01657352,0.0004757393,0.0005854275,0.002350985,0.0158929,0.01976492,0.00940149,0.005514387,0.005971153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005197957,"about_ca_system_score_gemma":0.003968144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441406,"about_ca_topic_score_gemma":0.01381721,"domain_scores_codex":[0.9899868,0.004416707,0.0003356554,0.001313743,0.003108951,0.0008381104],"domain_scores_gemma":[0.9865769,0.006435458,0.0007614442,0.001660913,0.003273871,0.001291426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009802319,0.000045397,0.003500515,0.0005174154,0.0000277118,0.000659215,0.03119266,0.0003377547,0.001203142,0.7992871,0.05181053,0.1113205],"study_design_scores_gemma":[0.00001352237,0.00006752319,0.002110262,0.0007909692,0.00002142788,0.00108237,0.02371544,0.0005702893,0.0005758777,0.07550477,0.8954983,0.00004926073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05476841,0.02060414,0.02667233,0.3077003,0.002800372,0.00008785584,0.0003965334,0.0004487073,0.5865213],"genre_scores_gemma":[0.786128,0.02458987,0.0141288,0.03835847,0.002301366,0.0002263434,0.0002145647,0.0006777139,0.1333749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01869603,"threshold_uncertainty_score":0.06254447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2884151395231501,"score_gpt":0.3082012279233389,"score_spread":0.01978608840018881,"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."}}