{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008663149,0.001760698,0.001185067,0.00111991,0.005722132,0.004070804,0.001312195,0.002039345,0.5603821],"category_scores_gemma":[0.002904203,0.000532052,0.0008990339,0.001531526,0.0006466151,0.000968846,0.001817447,0.001864122,0.2167133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091557,"about_ca_system_score_gemma":0.009539614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.752021,"about_ca_topic_score_gemma":0.9252411,"domain_scores_codex":[0.999292,0.00007446239,0.00001942596,0.0001470359,0.0002523265,0.0002146998],"domain_scores_gemma":[0.998611,0.00007764079,0.00003161723,0.00007560458,0.0006899206,0.000514164],"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":[0.0001599591,0.00002860033,0.0003251952,0.00003974706,0.000007586821,0.00006536343,0.00004959464,0.0001725342,0.0002023252,0.0004802508,0.9845086,0.01396012],"study_design_scores_gemma":[0.00004185751,0.00002416097,0.00349323,0.0000634254,0.000005264967,0.00001978705,0.0002360359,0.0002384213,0.0001371731,0.0002345117,0.9954951,0.0000110158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01256897,0.0120667,0.004028838,0.02189807,0.04266005,0.0013743,0.07986042,0.005385374,0.8201573],"genre_scores_gemma":[0.01161173,0.001091048,0.001331478,0.0007833978,0.0007534423,0.0001250585,0.007719507,0.0008071629,0.9757773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5603821,"threshold_uncertainty_score":0.6270615,"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."}}