{"id":"W4387143235","doi":"10.22533/at.ed.813382322098","title":"PROSPECTION OF MEDICINAL CANNABIS IN THE BRAZILIAN MARKET: PRODUCTS, PRODUCTION METHODS, USE & INDUSTRIAL PROPERTY (IP)","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological and Natural Sciences","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cannabis; Intellectual property; Business; Government (linguistics); Bioprospecting; Market access; Authorization; International trade; Medicine; Geography; Political science; Law; Psychiatry; Computer security","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":[0.001276352,0.0004318217,0.0007119614,0.008898598,0.0009086957,0.002521685,0.0004511736,0.0006525326,0.00927701],"category_scores_gemma":[0.003588261,0.0002367104,0.0008818868,0.01112883,0.001125716,0.001668634,0.0006404573,0.000719291,0.001433299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689144,"about_ca_system_score_gemma":0.004186836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189273,"about_ca_topic_score_gemma":0.01864937,"domain_scores_codex":[0.9984956,0.0002462611,0.0002174891,0.0001797958,0.0007859821,0.00007496579],"domain_scores_gemma":[0.9973583,0.001333232,0.0005612486,0.0001022155,0.0005889848,0.0000560009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001482275,0.00006698731,0.004433171,0.04707952,0.000146495,0.001919955,0.001334289,0.0001772589,0.006666271,0.0163236,0.01479501,0.9069092],"study_design_scores_gemma":[0.00001189689,0.0001024031,0.0132746,0.01632707,0.0003629942,0.003044927,0.001048611,0.00009110616,0.003079802,0.002431251,0.9601875,0.00003772716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007306375,0.94884,0.0006904678,0.001787455,0.0002236797,0.00005757979,0.001467009,0.00002518788,0.03960229],"genre_scores_gemma":[0.04754291,0.9458584,0.001616875,0.0007166775,0.0002097502,0.00003917182,0.0008077918,0.00001533637,0.003193153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189273,"threshold_uncertainty_score":0.03103471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116831277073735,"score_gpt":0.4028424392965224,"score_spread":0.2860111622227874,"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."}}