{"id":"W2952192237","doi":"10.3917/riges.442.0068","title":"Créateurs de contenu : de consommateurs à marques entrepreneuriales","year":2019,"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; Political science; Combinatorics; Sociology; Art; Mathematics","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":[0.002907614,0.0003299196,0.0002226716,0.001680628,0.006891132,0.01094156,0.0007007472,0.001756889,0.01239062],"category_scores_gemma":[0.01050537,0.0003348179,0.0002839386,0.001532401,0.009266249,0.01100983,0.005378203,0.001807928,0.001385695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488164,"about_ca_system_score_gemma":0.00196828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261893,"about_ca_topic_score_gemma":0.008204113,"domain_scores_codex":[0.9977432,0.001173833,0.00005120779,0.0002942621,0.0004512843,0.0002861177],"domain_scores_gemma":[0.9928597,0.00306134,0.00090178,0.0006938085,0.0007884763,0.001694857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001626429,0.0001077967,0.0185079,0.000115673,0.00001349267,0.001450453,0.2805,0.0001456576,0.001368455,0.6282451,0.008219707,0.06116321],"study_design_scores_gemma":[0.00004350196,0.00008628533,0.01643323,0.000277617,0.00002520418,0.001641291,0.2439262,0.001234354,0.00124977,0.1837888,0.5512407,0.00005305255],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5485806,0.002791252,0.01300792,0.02056671,0.0004678654,0.00005865988,0.0001171134,0.0001338818,0.414276],"genre_scores_gemma":[0.9463437,0.0007046071,0.002604288,0.0005690333,0.0001344948,0.00004155103,0.00004838186,0.00007491764,0.04947914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239062,"threshold_uncertainty_score":0.04145074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1527131488930619,"score_gpt":0.2904774561890194,"score_spread":0.1377643072959576,"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."}}