{"id":"W4252278018","doi":"10.1177/0263775816637873","title":"Narcotecture","year":2016,"lang":"en","type":"article","venue":"Environment and Planning D Society and Space","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Architecture; Space (punctuation); Consumption (sociology); History; Advertising; Computer security; Sociology; Engineering; Business; Art; Aesthetics; Computer science; Archaeology","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":[0.0002018853,0.00007661318,0.00008279003,0.000004964313,0.0004721442,0.00003127885,0.00004231219,0.00009015152,0.0000983633],"category_scores_gemma":[0.00002154698,0.00005538571,0.00003596725,0.0000197358,0.000325378,0.0001192875,0.00002784406,0.00007257836,0.000006680488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003155335,"about_ca_system_score_gemma":0.00001030854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002558106,"about_ca_topic_score_gemma":0.00002186337,"domain_scores_codex":[0.9994214,0.00003215789,0.00004702941,0.0001602353,0.0001523609,0.0001867888],"domain_scores_gemma":[0.999683,0.0001422126,0.00003517175,0.00005994685,0.000002150435,0.00007757537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007192163,0.00008702358,0.3198145,0.00005257814,0.000143148,0.0000189084,0.4655277,0.00003110599,0.009311645,0.02393241,0.1134164,0.06759259],"study_design_scores_gemma":[0.0002623427,0.00002603352,0.02663346,0.00003969326,0.00001006366,0.000001021244,0.01112068,0.000009580908,0.0001634885,0.0008835997,0.96069,0.0001600397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815771,0.003281611,0.001378775,0.007848817,0.00009996783,0.00008061739,0.00001089629,0.0000352495,0.005686953],"genre_scores_gemma":[0.9772249,0.00625277,0.0002955113,0.000255922,0.0002462703,0.000002842423,6.512935e-7,0.000005554087,0.01571561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8472736,"threshold_uncertainty_score":0.36314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449567387355377,"score_gpt":0.2361665101361789,"score_spread":0.2216708362626251,"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."}}