{"id":"W7027033999","doi":"","title":"Black Market to Blue Chip:
\\nThe Futures of the Cannabis Industry in Canada","year":2018,"lang":"en","type":"other","venue":"OCAD University Open Research Repository (OCAD University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Futures contract; Context (archaeology); Cannabis; Black market; Futures studies; Happening; Misrepresentation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002490395,0.0004606836,0.0003204284,0.001085702,0.03970911,0.01447183,0.001754617,0.005917105,0.0211951],"category_scores_gemma":[0.00357291,0.0003724901,0.0006716458,0.001648212,0.01203506,0.004675769,0.004566959,0.006696155,0.001435108],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1721848,"about_ca_system_score_gemma":0.369959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941161,"about_ca_topic_score_gemma":0.9981212,"domain_scores_codex":[0.9958761,0.0003648063,0.00003560325,0.0002563534,0.001271162,0.002195967],"domain_scores_gemma":[0.9955475,0.0003182532,0.00008717927,0.00006603426,0.001567404,0.00241359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00010811,0.00009144498,0.01064848,0.0002142095,0.00002682239,0.001686439,0.02771334,0.0009112048,0.0009792607,0.2615332,0.6443514,0.05173625],"study_design_scores_gemma":[0.00001886157,0.00003252983,0.01033026,0.0004026849,0.00002344757,0.0002217833,0.08216954,0.000854474,0.0005922399,0.02289701,0.8823202,0.0001370605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05251935,0.01088845,0.001167496,0.7250706,0.002661218,0.00008411518,0.001116991,0.0001012698,0.2063904],"genre_scores_gemma":[0.5493398,0.01891285,0.003188545,0.1465713,0.000373247,0.00007558933,0.0008497462,0.0002313354,0.2804576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1721848,"threshold_uncertainty_score":0.9601483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643580306536369,"score_gpt":0.2621114566142502,"score_spread":0.2356756535488865,"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."}}