{"id":"W7028010823","doi":"","title":"Életvégi döntéshelyzetek Orvos által asszisztált halál: Quebec, Kanada","year":2016,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Identification (biology); State (computer science); Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005078212,0.000431804,0.0003482719,0.001020192,0.005052838,0.002866509,0.000882075,0.001141535,0.2685327],"category_scores_gemma":[0.001454641,0.0002488794,0.0002796303,0.002018492,0.001112136,0.0008550977,0.001428873,0.001443642,0.02495344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02337791,"about_ca_system_score_gemma":0.03811314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805879,"about_ca_topic_score_gemma":0.9938625,"domain_scores_codex":[0.9995559,0.00002765119,0.00001068163,0.00005437549,0.0001721572,0.0001791699],"domain_scores_gemma":[0.999037,0.0000542852,0.00003666576,0.00004938672,0.0005222393,0.0003003951],"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":[0.00007737039,0.00005460357,0.007169062,0.00018801,0.00001332411,0.0002661474,0.001296298,0.0001595424,0.0003952329,0.01118206,0.9057655,0.07343292],"study_design_scores_gemma":[0.00001034629,0.000006338928,0.02685274,0.0001377998,0.000005505308,0.00006181157,0.00126837,0.00008822558,0.000264665,0.0002852281,0.9710029,0.00001600618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01600655,0.005665437,0.0008804243,0.01165128,0.001018977,0.0001655245,0.04388444,0.0004910884,0.9202362],"genre_scores_gemma":[0.03310605,0.001600154,0.0005672647,0.0007790041,0.0000456505,0.00005272964,0.004852887,0.0001817041,0.9588146],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2685327,"threshold_uncertainty_score":0.8983315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004020655363904521,"score_gpt":0.1689989428940039,"score_spread":0.1649782875300994,"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."}}