{"id":"W3205458182","doi":"10.3998/ticker.1381","title":"The Invisible Industry: Resources for Supporting Cannabis Entrepreneurs (Entrepreneurship &amp; Libraries Conference 2021)","year":2021,"lang":"en","type":"article","venue":"Ticker The Academic Business Librarianship Review","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Cannabis; Business; Finance; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005235806,0.000395148,0.0003455141,0.00310908,0.003079883,0.009035577,0.001410334,0.003956596,0.08999143],"category_scores_gemma":[0.008364597,0.0003730514,0.0003804809,0.002333667,0.0008968898,0.005386987,0.005535677,0.002662319,0.02945985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835608,"about_ca_system_score_gemma":0.01448698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006485276,"about_ca_topic_score_gemma":0.03115362,"domain_scores_codex":[0.9984242,0.0003646346,0.00008824078,0.00006406791,0.0007697653,0.0002892344],"domain_scores_gemma":[0.9879355,0.002371135,0.0008331195,0.0002873034,0.002548648,0.006024284],"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":[0.0000159737,0.00004190103,0.00008774825,0.0004870061,0.000002764748,0.00003115864,0.0001317741,0.0000107256,0.0001133328,0.001645979,0.9476863,0.04974543],"study_design_scores_gemma":[0.00001223706,0.00002699323,0.0004972419,0.0006689958,0.000007542834,0.00001970984,0.0004015604,0.00001214093,0.00009808898,0.0003587936,0.9978907,0.000005990512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003976169,0.1721836,0.001004787,0.4805049,0.04747125,0.000742951,0.002178564,0.001480301,0.2904574],"genre_scores_gemma":[0.0306661,0.1606316,0.003732866,0.1114346,0.02609745,0.0008853378,0.003380962,0.0004963872,0.6626747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08999143,"threshold_uncertainty_score":0.3010513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07705436244227286,"score_gpt":0.3032372884695961,"score_spread":0.2261829260273232,"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."}}