{"id":"W2233932779","doi":"","title":"Maudite Machine !. Maudite Machine !, Québec 2002, 46 minutes Maudite Machine !, Québec 2002, 46 minutes","year":2003,"lang":"fr","type":"article","venue":"Séquences : La revue de cinéma","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004739234,0.001497298,0.0007553189,0.001085329,0.00412993,0.004290116,0.0009635304,0.001672143,0.7697363],"category_scores_gemma":[0.002094909,0.0006346763,0.0004479708,0.001378126,0.0005685971,0.001364149,0.0009770868,0.001261479,0.3935007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007480301,"about_ca_system_score_gemma":0.005447818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6584569,"about_ca_topic_score_gemma":0.8827756,"domain_scores_codex":[0.9997216,0.00003458538,0.000008523189,0.00004681678,0.0001162223,0.00007225342],"domain_scores_gemma":[0.998849,0.00009688424,0.00002555474,0.00005106615,0.0006094523,0.0003680485],"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":[0.00003240225,0.0000115263,0.0001017566,0.00003183526,0.000001586873,0.00003219335,0.00006051661,0.00007124231,0.0002369794,0.0002973223,0.9874335,0.01168922],"study_design_scores_gemma":[0.00001485061,0.00001151222,0.002450618,0.00005049187,0.000002985637,0.00001800092,0.0002193639,0.0002248965,0.000113115,0.0001390146,0.9967471,0.000008099735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003819006,0.006002,0.002027708,0.009897244,0.0102258,0.0004985905,0.02659741,0.005188481,0.9357437],"genre_scores_gemma":[0.004108241,0.0007598475,0.0004699409,0.0003307208,0.0002518295,0.00007160398,0.002324311,0.0006462797,0.9910371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7697363,"threshold_uncertainty_score":0.687109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050804146361772,"score_gpt":0.2573647413043138,"score_spread":0.2065605949425418,"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."}}