{"id":"W2118900167","doi":"","title":"Inside Insite: How a Localized Social Movement Led the Way for North America’s First Legal Supervised Injection Site","year":2015,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassroots; Principle of legality; Political science; Law; Movement (music); Social movement; Set (abstract data type); Supreme court; Foundation (evidence); Public administration; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004693214,0.0003655845,0.0004578231,0.0006115356,0.002820101,0.003297843,0.001257137,0.0001818261,0.0001833352],"category_scores_gemma":[0.0007938436,0.0003508457,0.0004806444,0.002927546,0.0003269773,0.005725864,0.0007094058,0.0003595682,0.0006687509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511781,"about_ca_system_score_gemma":0.0003996529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038425,"about_ca_topic_score_gemma":0.1033683,"domain_scores_codex":[0.9970607,0.0002722256,0.0002966217,0.0006976608,0.0009337876,0.000738998],"domain_scores_gemma":[0.9975658,0.0002494204,0.0002360762,0.0003989638,0.0009773626,0.0005723494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01181647,0.002638458,0.508477,0.0003450759,0.00259967,0.0005231179,0.1360982,0.009365802,0.0004039205,0.01224264,0.09280895,0.2226806],"study_design_scores_gemma":[0.001168816,0.0002137574,0.007236484,0.00002290219,0.0004237434,0.000002032978,0.05150396,0.0002204373,0.00006245379,0.000072884,0.9385658,0.000506746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810563,0.00000657881,0.004759626,0.002777529,0.0004669706,0.0009998969,0.0003350996,0.000241577,0.009356478],"genre_scores_gemma":[0.9910737,0.00003542575,0.00009750944,0.001444623,0.0004503816,0.00003163714,0.0002541289,0.00003747465,0.006575082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8457568,"threshold_uncertainty_score":0.9998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608166132466425,"score_gpt":0.276553667875628,"score_spread":0.2304720065509637,"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."}}