{"id":"W2980239942","doi":"10.4000/rfsic.6473","title":"Le Labo Télé","year":2019,"lang":"fr","type":"article","venue":"Revue française des sciences de l’information et de la communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003382463,0.001349414,0.0009893469,0.003811116,0.007748825,0.01124153,0.001873313,0.005042648,0.1410519],"category_scores_gemma":[0.007153788,0.0007719116,0.0008606641,0.002526436,0.004121672,0.004600938,0.005606675,0.005401121,0.02718869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01986261,"about_ca_system_score_gemma":0.02028309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1300275,"about_ca_topic_score_gemma":0.1652258,"domain_scores_codex":[0.9965799,0.0005365074,0.00007079422,0.0006254302,0.001378182,0.0008090639],"domain_scores_gemma":[0.993692,0.0009572482,0.0004067459,0.0005417114,0.002345395,0.002056888],"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":[0.001340025,0.000211368,0.005949737,0.0005817148,0.0000414678,0.002795305,0.00609671,0.001169642,0.008403176,0.2829601,0.5028811,0.1875696],"study_design_scores_gemma":[0.00003149486,0.00005311391,0.001709113,0.0001025898,0.000005889648,0.0001854898,0.000843827,0.0001636787,0.0008804698,0.001615849,0.9943818,0.00002658514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03065507,0.02090432,0.01986106,0.07368429,0.02925885,0.0007786363,0.006637979,0.00386982,0.81435],"genre_scores_gemma":[0.09229711,0.003210873,0.004601052,0.004132237,0.002014777,0.0003783243,0.001407926,0.0007996307,0.8911582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1410519,"threshold_uncertainty_score":0.4718658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113473025526805,"score_gpt":0.3297813183478873,"score_spread":0.2163082928210823,"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."}}