{"id":"W3003314269","doi":"10.1177/1741659020903700","title":"“Whenever there’s trouble, just yelp for help”: Crime, conservation, and corporatization in <i>Paw Patrol</i>","year":2020,"lang":"en","type":"article","venue":"Crime Media Culture An International Journal","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Corporatization; Complicity; Corporation; Criminology; Neoliberalism (international relations); Punishment (psychology); Underclass; Sociology; Political science; State (computer science); Law; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002218854,0.0001598764,0.0001725902,0.0000574769,0.0001485669,0.0001436164,0.0003467723,0.000119653,0.0008975033],"category_scores_gemma":[0.0003290534,0.0001352971,0.00006147507,0.0001359568,0.0001656208,0.0009026028,0.0000600373,0.0002493379,0.00004953778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007709456,"about_ca_system_score_gemma":0.00005526062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000044008,"about_ca_topic_score_gemma":0.000134578,"domain_scores_codex":[0.9986947,0.0000953975,0.0003953891,0.0002818661,0.0003545211,0.0001781505],"domain_scores_gemma":[0.9992559,0.00006943959,0.00022434,0.00008510649,0.0001662662,0.0001989473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004612452,0.0002193047,0.8070034,0.00001467037,0.0001242886,0.00006123685,0.009584524,0.0003012034,0.01452713,0.01199787,0.1520696,0.003635541],"study_design_scores_gemma":[0.00400052,0.0002893184,0.7913641,0.00004532874,0.0001382438,0.0001739048,0.003548996,0.005338176,0.002378823,0.009050275,0.1831553,0.0005170006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543895,0.0002896388,0.01174918,0.02787407,0.0009998431,0.0003666859,0.00004546435,0.00006463761,0.004221012],"genre_scores_gemma":[0.9706281,0.0001840352,0.003499964,0.02427903,0.0008274376,0.00002206228,0.0001715325,0.00001830424,0.0003695336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03108563,"threshold_uncertainty_score":0.9827031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.071959017891737,"score_gpt":0.2985283031314014,"score_spread":0.2265692852396644,"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."}}