{"id":"W2962969855","doi":"","title":"Marie-Christine LAMBERT-PERREAULT, Jérôme-Olivier ALLARD, Elaine DESPRÉS et Simon HAREL (dir.) (2017), Télé en séries. Montréal, XYZ éditeur, Coll. « Théorie & littérature »","year":2019,"lang":"fr","type":"article","venue":"Communication. Information médias théories pratiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001435051,0.001015851,0.0009614028,0.0003035293,0.0009052409,0.007568612,0.002593128,0.00090835,0.001166692],"category_scores_gemma":[0.002265284,0.0008794673,0.0003327118,0.001455882,0.0005556199,0.03137856,0.00208072,0.001574376,0.002343562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000418084,"about_ca_system_score_gemma":0.001196561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528452,"about_ca_topic_score_gemma":0.001149977,"domain_scores_codex":[0.9943638,0.001015014,0.001992726,0.0005855737,0.00107287,0.0009700598],"domain_scores_gemma":[0.9901311,0.001630057,0.001466957,0.003633322,0.002570435,0.0005681522],"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":[0.0001550017,0.0003417046,0.0003359035,0.0004026112,0.0002366036,0.0000151719,0.02520513,0.002688322,0.00003845053,0.3835875,0.5517939,0.03519971],"study_design_scores_gemma":[0.001135613,0.0004649507,0.002219475,0.0006666777,0.000079458,0.0000942578,0.002718228,0.0200393,0.0002752671,0.008322266,0.9628457,0.001138754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007132408,0.2621043,0.01670995,0.1421953,0.003316703,0.00497631,0.001187296,0.001608351,0.5607693],"genre_scores_gemma":[0.19809,0.330327,0.04964184,0.02964248,0.0008670462,0.0006324422,0.009684812,0.0002299529,0.3808843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4110518,"threshold_uncertainty_score":0.9997464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411053096464424,"score_gpt":0.2893553082089941,"score_spread":0.2452447772443499,"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."}}