{"id":"W2021148446","doi":"10.1080/07418825.2010.506881","title":"Becoming an Informant","year":2010,"lang":"en","type":"article","venue":"Justice Quarterly","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Justice Assistance; University of Waterloo","keywords":"Confidentiality; Snowball sampling; Typology; Psychology; Insider; Social psychology; Identity (music); Nonprobability sampling; Law enforcement; Sociology; Perspective (graphical); Criminology; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02287923,0.0003976901,0.0004206345,0.001535315,0.008473417,0.007152944,0.0009874804,0.001916383,0.00697177],"category_scores_gemma":[0.04231909,0.0007683423,0.0002601371,0.001018028,0.01022557,0.01000802,0.007197385,0.003302667,0.002779234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874196,"about_ca_system_score_gemma":0.003900182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917072,"about_ca_topic_score_gemma":0.002100915,"domain_scores_codex":[0.9792898,0.01556575,0.0009066943,0.001445258,0.001767119,0.00102541],"domain_scores_gemma":[0.9536765,0.02347001,0.006259141,0.005517981,0.005756938,0.005319502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000855886,0.00009394834,0.01439511,0.0001794215,0.00001278938,0.001033957,0.8820971,0.00006804112,0.004601779,0.02781479,0.008919949,0.06069753],"study_design_scores_gemma":[0.00001138904,0.0002553839,0.00797766,0.0003926876,0.00002381799,0.002380332,0.5048487,0.0003535726,0.001986567,0.008380995,0.4733201,0.00006887917],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681024,0.003166827,0.05592747,0.05321222,0.002077605,0.0007027079,0.0001647448,0.0003874797,0.1162584],"genre_scores_gemma":[0.944243,0.001523364,0.01660939,0.006129504,0.000268564,0.0003353914,0.0001053567,0.00007880075,0.03070674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287923,"threshold_uncertainty_score":0.1209984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04824191877466392,"score_gpt":0.3983854398730112,"score_spread":0.3501435210983472,"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."}}