{"id":"W4400886062","doi":"10.25686/2410-0773.2019.2.114","title":"«ШКОЛЬНЫЕ СТРЕЛКИ» И ИХ МОТИВАЦИЯ: «СИНДРОМ КРЫСОЛОВА», «СИНДРОМ ГЕРОСТРАТА», «СИНДРОМ НИБЕЛУНГОВ»?","year":2019,"lang":"en","type":"article","venue":"Socialʹnoe vremâ.","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001287472,0.0003752295,0.0004113081,0.001531455,0.00124428,0.003159112,0.0005981082,0.001239947,0.01535238],"category_scores_gemma":[0.003003638,0.0002586779,0.0002822794,0.002075566,0.003554149,0.001593848,0.001011654,0.001560916,0.003687213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746152,"about_ca_system_score_gemma":0.003030858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004851921,"about_ca_topic_score_gemma":0.004575477,"domain_scores_codex":[0.9985512,0.0003265444,0.0001051723,0.0001733849,0.0006899503,0.000153682],"domain_scores_gemma":[0.9987366,0.0004694487,0.0002968667,0.0001207686,0.0002645733,0.0001118825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001224332,0.0001464149,0.007970453,0.001073545,0.00003611854,0.001229204,0.0025351,0.0004439525,0.003523969,0.4482184,0.03646395,0.4982364],"study_design_scores_gemma":[0.00002189962,0.00009393848,0.007109847,0.000649566,0.00003470355,0.002276909,0.001869094,0.0003691929,0.002130574,0.05902135,0.9263554,0.00006741042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05883266,0.2526632,0.03767723,0.0479928,0.009913933,0.0003334621,0.0005681406,0.0003093889,0.5917092],"genre_scores_gemma":[0.684998,0.164288,0.03697427,0.005348197,0.003928218,0.0005435577,0.0003847581,0.0001731181,0.1033618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01535238,"threshold_uncertainty_score":0.05135876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804644869595988,"score_gpt":0.3868156606524934,"score_spread":0.3587692119565335,"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."}}