{"id":"W1603297807","doi":"10.3917/telev.005.0095","title":"« Twitter en regardant la télé » : une campagne transmédias interactive ?","year":2014,"lang":"fr","type":"article","venue":"Télévision","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","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":[0.001477559,0.000328835,0.0002010584,0.0009066158,0.007013343,0.008171205,0.0005375935,0.001930973,0.01839337],"category_scores_gemma":[0.00441561,0.0002390968,0.0002500785,0.001368591,0.005975273,0.009824562,0.003699214,0.002282352,0.0032037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001935,"about_ca_system_score_gemma":0.001000733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008456808,"about_ca_topic_score_gemma":0.0134923,"domain_scores_codex":[0.9981973,0.001045535,0.00004786497,0.0001860053,0.0003118544,0.0002115151],"domain_scores_gemma":[0.9976401,0.001358126,0.0002906809,0.0001719775,0.0002425885,0.0002964559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002641973,0.00005555089,0.01884553,0.0004522099,0.00003166888,0.00179643,0.7124684,0.0001339661,0.004876242,0.1397504,0.05949765,0.06182786],"study_design_scores_gemma":[0.00001530313,0.00005809772,0.009781553,0.0003074207,0.0000183512,0.0005909307,0.2996789,0.0002214828,0.0008741606,0.005531257,0.6828724,0.00005026346],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4301435,0.003128451,0.007700095,0.0864419,0.00224301,0.0001068132,0.001002837,0.0002551345,0.4689782],"genre_scores_gemma":[0.9129418,0.001756542,0.00115389,0.005712852,0.0007373614,0.0001090626,0.0002808888,0.0001993202,0.07710826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839337,"threshold_uncertainty_score":0.06153196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151416850759985,"score_gpt":0.4525165373640515,"score_spread":0.337374852288053,"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."}}