{"id":"W7165667587","doi":"10.52357/armax00028","title":"The Canadian Kalashnikov: Chinese Type 81 Semi-automatic Variants for the Canadian Market (Part II)","year":2025,"lang":"","type":"article","venue":"Armax The Journal of Contemporary Arms","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Rifle; Work (physics); Chinese market; Poison control","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":[0.0004786149,0.0004794507,0.0002204197,0.001516118,0.004088712,0.002598857,0.0007846211,0.0005899337,0.04884683],"category_scores_gemma":[0.001170126,0.0002115801,0.0003711248,0.002299312,0.001737957,0.001006206,0.0008471471,0.0008258759,0.005560293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01364422,"about_ca_system_score_gemma":0.01629936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7835083,"about_ca_topic_score_gemma":0.8457524,"domain_scores_codex":[0.9992029,0.00003129828,0.00001728645,0.00008454493,0.0004682983,0.0001956682],"domain_scores_gemma":[0.9995556,0.00003743132,0.00002917994,0.00005289365,0.000250278,0.0000745418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003944778,0.00008144255,0.006857883,0.00041679,0.00002039568,0.0008627364,0.003971111,0.001225019,0.007623591,0.5221429,0.1991168,0.257287],"study_design_scores_gemma":[0.00002513108,0.00009155305,0.02474421,0.0001048787,0.00002322162,0.0005226273,0.001411417,0.001329305,0.003245061,0.008756363,0.9596701,0.00007607776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1037649,0.003105764,0.003608854,0.00250404,0.0005981644,0.0002426176,0.003727605,0.0003774267,0.8820705],"genre_scores_gemma":[0.5106245,0.003352411,0.007629954,0.0008461011,0.0001402685,0.000104964,0.002911838,0.0003165897,0.4740734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2164917,"threshold_uncertainty_score":0.4355333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218424302053798,"score_gpt":0.3387270355910715,"score_spread":0.2965427925705336,"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."}}