{"id":"W3173001920","doi":"10.1080/15228835.2021.1931635","title":"Social Work and Technology: Using Geographic Information Systems to Leverage Community Development Responses to Hate Crimes","year":2021,"lang":"en","type":"article","venue":"Journal of Technology in Human Services","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Centre for Addiction and Mental Health; Western University","funders":"","keywords":"Leverage (statistics); Geographic information system; SAFER; Psychological intervention; Work (physics); Social work; Public relations; Knowledge management; Computer science; Political science; Psychology; Computer security; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004278883,0.0005449057,0.0002288499,0.002589531,0.004476495,0.006477944,0.001084942,0.001202293,0.004035888],"category_scores_gemma":[0.008721363,0.0003270544,0.0004066262,0.001859814,0.00475219,0.004744416,0.007907662,0.0009411984,0.0006844237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987594,"about_ca_system_score_gemma":0.004394276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008284951,"about_ca_topic_score_gemma":0.01405387,"domain_scores_codex":[0.9941784,0.004502009,0.0001145096,0.0002840465,0.0004371282,0.0004840178],"domain_scores_gemma":[0.9948342,0.003257348,0.0004003309,0.0004591156,0.0003424758,0.0007064673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001339924,0.001049383,0.04893576,0.0007452035,0.0001003677,0.001694834,0.3644181,0.0007874706,0.002634001,0.02664021,0.01588233,0.5369784],"study_design_scores_gemma":[0.0001221351,0.001159373,0.03884796,0.001052588,0.0001231285,0.001330575,0.6439312,0.002927622,0.002396544,0.02429204,0.2837077,0.0001092045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904179,0.001875467,0.03096364,0.02630651,0.000339128,0.0004536297,0.0001283249,0.0005485728,0.1489669],"genre_scores_gemma":[0.9793597,0.001210939,0.0144256,0.0007541758,0.00005676895,0.000157581,0.00004398896,0.00004249057,0.003948632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008284951,"threshold_uncertainty_score":0.02262914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06000108520045109,"score_gpt":0.3740272793001851,"score_spread":0.314026194099734,"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."}}