{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001172298,0.0002177254,0.0003118998,0.0001145812,0.00009004724,0.000125087,0.0004182459,0.0001542715,0.1735632],"category_scores_gemma":[0.0000585241,0.0002141846,0.00009185603,0.00001604551,0.0001818613,4.108361e-7,0.0002252383,0.0002453995,0.002203704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003885486,"about_ca_system_score_gemma":0.00004752491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167725,"about_ca_topic_score_gemma":0.00007438444,"domain_scores_codex":[0.9987049,0.00007310892,0.0003688539,0.0002374409,0.0003268295,0.0002888959],"domain_scores_gemma":[0.9990581,0.0000626147,0.0003519981,0.0003477891,0.0000606344,0.0001188857],"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":[0.000004830491,0.00001596417,0.000006239402,0.0001467621,0.00003076425,0.000007839771,0.00004805543,0.0000187579,4.273765e-8,0.0003715315,0.9799523,0.01939689],"study_design_scores_gemma":[0.0001819301,0.00006349367,0.000006082542,0.00004326569,0.00003021219,0.0002139805,0.000065086,0.0003094163,0.000002710948,0.00006955682,0.9987815,0.0002327562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006229015,0.0003728891,0.0000661436,0.0004311693,0.0002288358,0.0001191463,0.00003000822,0.0002191914,0.9985264],"genre_scores_gemma":[0.0002533131,0.0001081008,0.01438963,0.0003978762,0.00008184462,0.000006392611,0.00004226739,0.00004198345,0.9846786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1713595,"threshold_uncertainty_score":0.9985732,"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."}}