{"id":"W4251544081","doi":"10.4000/communication.4833","title":"Jacques SIRACUSA (2001), Le JT, machine à décrire. Sociologie du travail des reporters à la télévision","year":2003,"lang":"fr","type":"article","venue":"Communication","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002878495,0.0002803363,0.000304139,0.00006299639,0.001453817,0.0001893814,0.0007112133,0.0004062343,0.0005322046],"category_scores_gemma":[0.001924183,0.0002744766,0.0001699101,0.000244598,0.003465312,0.0007439186,0.0001208244,0.0003955715,0.0001306453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226555,"about_ca_system_score_gemma":0.0007817874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078543,"about_ca_topic_score_gemma":0.00766619,"domain_scores_codex":[0.9940653,0.003952744,0.0006891253,0.0003653452,0.0003380925,0.0005893749],"domain_scores_gemma":[0.9970918,0.0007017117,0.0004639868,0.00109337,0.0004393964,0.0002097118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002963905,0.001440501,0.1038316,0.000170483,0.0002546401,0.00001701213,0.2212317,0.0002161646,0.002403103,0.2602821,0.3415465,0.06857653],"study_design_scores_gemma":[0.0005031241,0.0000557705,0.09019551,0.0001257317,0.00009277256,0.00003039384,0.02868498,0.0008013839,0.0007285499,0.006848866,0.8714518,0.0004811074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6824442,0.133611,0.001499445,0.05009354,0.001188479,0.0009278689,0.00005136933,0.0004033257,0.1297808],"genre_scores_gemma":[0.9136314,0.05335276,0.005298027,0.001611394,0.0001307703,0.00002930844,0.0001769145,0.00003324268,0.02573615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5299053,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.23905336516744,"score_gpt":0.424562166390294,"score_spread":0.185508801222854,"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."}}