{"id":"W2512679391","doi":"10.4000/communication.6916","title":"Vindicien KAJABIKA (2012), Télévision, crise et télé-réalité. Des questions et des réponses. Des problèmes et des solutions","year":2016,"lang":"fr","type":"article","venue":"Communication","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0007189634,0.0004362151,0.0003099195,0.001458133,0.003853595,0.004140693,0.0007484964,0.002551506,0.01102592],"category_scores_gemma":[0.002708051,0.0002568293,0.000198833,0.002069964,0.003969369,0.005564096,0.001571617,0.00293855,0.00187485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004307776,"about_ca_system_score_gemma":0.003338769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02763811,"about_ca_topic_score_gemma":0.04193134,"domain_scores_codex":[0.9994243,0.0002460569,0.00002324549,0.00008869248,0.0001218217,0.0000958284],"domain_scores_gemma":[0.9990076,0.0006296574,0.0001090762,0.00002733709,0.0001475774,0.00007879575],"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":[0.00008853561,0.00003380577,0.002025188,0.0006738132,0.00002018348,0.000379608,0.03730264,0.0001525786,0.0004813531,0.7865275,0.1089641,0.06335055],"study_design_scores_gemma":[0.00002002514,0.00001533514,0.008288072,0.0008212586,0.00002214438,0.0005146289,0.01864844,0.0001293729,0.0005231837,0.09874677,0.8722217,0.00004902331],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03609589,0.3743634,0.00881135,0.2451955,0.004611072,0.000059352,0.0005344671,0.0000784919,0.3302505],"genre_scores_gemma":[0.6588627,0.1911196,0.004644446,0.02151917,0.001210843,0.0001247484,0.0002083505,0.0001372653,0.1221728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02763811,"threshold_uncertainty_score":0.05495447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159532048884783,"score_gpt":0.3638167344460147,"score_spread":0.2042846855612317,"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."}}