{"id":"W7021178481","doi":"","title":"\\n Danse macabre — Canada [Québec] 2009, 8 minutes 30 secondes","year":2010,"lang":"ru","type":"article","venue":"Érudit (Université de Montréal)","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Macabre; Key (lock); Precarity","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001823021,0.0003147537,0.0003261673,0.0002008172,0.0009239472,0.0001147084,0.001047681,0.0001941681,0.004385935],"category_scores_gemma":[0.00006298765,0.0003549083,0.0001805194,0.0007503983,0.00007572376,0.0004367118,0.0004463889,0.0003940334,0.0002695755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415735,"about_ca_system_score_gemma":0.001513415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9492613,"about_ca_topic_score_gemma":0.9988783,"domain_scores_codex":[0.9980008,0.0000856313,0.0002708669,0.0006036599,0.0005233277,0.0005156972],"domain_scores_gemma":[0.9981118,0.0001777542,0.00026394,0.000683544,0.0003076362,0.0004553358],"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":[0.00004117479,0.0001614725,0.004610594,0.00004040863,0.0004984834,0.001559037,0.001009028,0.008283853,0.00100003,0.04807376,0.9145045,0.02021762],"study_design_scores_gemma":[0.0005950768,0.00003066565,0.004351328,0.00001273618,0.0001510401,0.0001399647,0.0002156194,0.1961418,0.0001919952,0.0002334911,0.7975,0.000436378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2103757,0.03465794,0.06520368,0.6501321,0.00455385,0.0009402447,0.001185248,0.0005824452,0.03236881],"genre_scores_gemma":[0.4684626,0.001552113,0.01707207,0.004933046,0.0005304698,0.000007334096,0.0001364952,0.00006302564,0.5072429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6451991,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003399348113688201,"score_gpt":0.1437689352026668,"score_spread":0.1403695870889786,"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."}}