{"id":"W7034217037","doi":"","title":"Texas, guns and America's political paralysis","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gun control; Politics; Heading (navigation); State (computer science); Front (military); 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":[0.0003456486,0.0003570139,0.0001684533,0.001186187,0.006348943,0.006401582,0.0004428451,0.002115839,0.07868105],"category_scores_gemma":[0.001029467,0.0001685921,0.0001674518,0.001583675,0.002565688,0.002720998,0.002561284,0.002611782,0.007950019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00401221,"about_ca_system_score_gemma":0.002552914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04191169,"about_ca_topic_score_gemma":0.08271763,"domain_scores_codex":[0.9997731,0.00004652977,0.000005610408,0.0000232704,0.00006930185,0.00008224519],"domain_scores_gemma":[0.9997303,0.00006268861,0.00003412447,0.00001770853,0.0000578039,0.00009741808],"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":[0.00001059383,0.0000137998,0.0002613894,0.00004338149,0.000001288616,0.0001108288,0.001476671,0.00003312691,0.00004958883,0.05168983,0.9159644,0.03034501],"study_design_scores_gemma":[0.000002394854,0.000005414322,0.0008992515,0.00008974651,0.000001388565,0.00008491205,0.00198728,0.00002136571,0.00002853843,0.00366411,0.9932122,0.000003420318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00743831,0.04994289,0.0002350104,0.1577016,0.006559436,0.000008287314,0.00032502,0.0001589875,0.7776305],"genre_scores_gemma":[0.09544995,0.04350175,0.0002926215,0.0263603,0.004943569,0.00002287453,0.0002868826,0.0001086286,0.8290334],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07868105,"threshold_uncertainty_score":0.2632143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004243362178587616,"score_gpt":0.1817792822886292,"score_spread":0.1775359201100416,"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."}}