{"id":"W3028098788","doi":"10.2196/19369","title":"Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marshall Aid Commemoration Commission","keywords":"Coronavirus disease 2019 (COVID-19); Collateral damage; Pandemic; 2019-20 coronavirus outbreak; Collateral; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Medical emergency; Business; Outbreak; Psychology; Criminology; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001698963,0.0001858449,0.0002795865,0.001373848,0.0006158914,0.001691144,0.0005051938,0.001025708,0.005050134],"category_scores_gemma":[0.0182447,0.0002121516,0.0004690076,0.001919814,0.0008730994,0.002363435,0.001321006,0.00137261,0.0004691545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574042,"about_ca_system_score_gemma":0.001055269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226488,"about_ca_topic_score_gemma":0.01691749,"domain_scores_codex":[0.9991319,0.00039629,0.0000779802,0.0001160387,0.00009259706,0.0001853166],"domain_scores_gemma":[0.9774774,0.007982929,0.01159297,0.0006749058,0.0008456291,0.00142613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316212,0.0002924385,0.9926832,0.0000331462,0.00007599864,0.0001851792,0.0008626533,0.0005657419,0.00003472715,0.001253718,0.001224578,0.002656922],"study_design_scores_gemma":[0.00002149585,0.0002707525,0.9875417,0.00004882637,0.00006462685,0.0002041602,0.005095595,0.004137554,0.00007908676,0.0006580336,0.001862533,0.00001569715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951996,0.0003065009,0.0001342756,0.00149568,0.00001111598,0.00002509888,0.0007829063,0.000003568629,0.002041209],"genre_scores_gemma":[0.9987274,0.0002331472,0.00004459583,0.0001475106,0.00004000393,0.00001830347,0.0005029195,0.000001838624,0.0002842969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226488,"threshold_uncertainty_score":0.04427052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301132382842853,"score_gpt":0.4775476920793993,"score_spread":0.247434453795114,"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."}}