{"id":"W7004965832","doi":"","title":"Orvos által asszisztált halál: Quebec, Kanada","year":2016,"lang":"hu","type":"other","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Biological and pharmacological studies of plants","field":"Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003554774,0.0005606841,0.0003495076,0.0008913378,0.004476116,0.001954684,0.0007469936,0.001184893,0.3790929],"category_scores_gemma":[0.0007833925,0.0002285686,0.0002994687,0.001762622,0.001043768,0.0007120313,0.001034721,0.001349375,0.03413006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01751289,"about_ca_system_score_gemma":0.02287066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9668487,"about_ca_topic_score_gemma":0.990688,"domain_scores_codex":[0.9997013,0.000019919,0.000008394,0.0000595567,0.0001124775,0.00009834122],"domain_scores_gemma":[0.9993733,0.00004841555,0.00003695372,0.00003080445,0.0003237326,0.000186895],"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":[0.0002164295,0.00008425969,0.007072684,0.0003237731,0.00002389717,0.0005734435,0.0008778018,0.0002287748,0.001420893,0.01035192,0.8499818,0.1288444],"study_design_scores_gemma":[0.00001287564,0.000009884113,0.01455139,0.000105003,0.00000514233,0.00006440705,0.0004998643,0.00008492945,0.0003094148,0.0002812575,0.9840611,0.00001479041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01613087,0.01476997,0.001121677,0.01508833,0.001790034,0.0002020354,0.03728268,0.0005536104,0.9130608],"genre_scores_gemma":[0.01719543,0.002222235,0.0004079217,0.0006168533,0.00005305074,0.00003100398,0.002120572,0.0001066811,0.9772464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3790929,"threshold_uncertainty_score":0.8856486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008041015519792563,"score_gpt":0.1971785827915273,"score_spread":0.1891375672717347,"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."}}