{"id":"W2146612445","doi":"10.7202/1001063ar","title":"Un fracassant Big Bang","year":2011,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004488077,0.0008984795,0.0008899351,0.0005548961,0.0003947504,0.001372836,0.001556322,0.000539654,0.0004688784],"category_scores_gemma":[0.0001477464,0.0007825151,0.0007337895,0.002066428,0.0006576146,0.003975206,0.0007536117,0.0006566294,0.00031224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008862891,"about_ca_system_score_gemma":0.0001616713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896437,"about_ca_topic_score_gemma":0.0005773155,"domain_scores_codex":[0.9955845,0.0002509005,0.001052145,0.001258533,0.0004633338,0.001390568],"domain_scores_gemma":[0.9962828,0.0001570729,0.0004829385,0.001524269,0.0005736826,0.0009792875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002828141,0.0007163913,0.003019534,0.0002868972,0.0002543066,0.00118502,0.006577952,0.000003877753,0.0003887926,0.9234312,0.005517005,0.05859075],"study_design_scores_gemma":[0.0006727168,0.00087093,0.04730675,0.0013757,0.0001910601,0.001728257,0.0002851497,0.0009139768,0.01389198,0.03381116,0.8971991,0.001753231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06013237,0.03344774,0.01873809,0.005796715,0.005853339,0.0009450141,0.00006343313,0.001174791,0.8738485],"genre_scores_gemma":[0.9669905,0.004066007,0.01379828,0.002546639,0.0009801676,0.00004802805,0.00002279042,0.00009856004,0.01144904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9068581,"threshold_uncertainty_score":0.9996638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3380032031823912,"score_gpt":0.2892233909051722,"score_spread":0.048779812277219,"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."}}