{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003794043,0.0000768238,0.0001836712,0.0002893652,0.00007417297,0.00004902325,0.0002540089,0.00006555513,0.00005877459],"category_scores_gemma":[0.003924281,0.00002860449,0.00006011492,0.0008473276,0.00057416,0.0002024894,0.0000476933,0.0003885582,7.565365e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004928512,"about_ca_system_score_gemma":0.0001770474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676776,"about_ca_topic_score_gemma":0.00004308802,"domain_scores_codex":[0.9983224,0.0002367314,0.0003664972,0.0001873913,0.0007294685,0.0001575194],"domain_scores_gemma":[0.9991316,0.000056091,0.0001872097,0.00005737259,0.0005170563,0.00005069425],"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":[0.003114373,0.0004113183,0.2659954,0.00004130696,0.0001171179,0.0001099941,0.001092963,0.00001512036,0.149346,0.0002632368,0.1205865,0.4589068],"study_design_scores_gemma":[0.0006956221,0.001080166,0.8777494,0.0001455954,0.00001414958,0.0009560394,0.0005875446,0.0001000535,0.005432123,0.0004974789,0.112663,0.0000788281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991186,0.0005013871,0.000004307541,0.09907477,0.0009399671,0.0002426069,0.000002843148,0.000004837062,0.0001106756],"genre_scores_gemma":[0.9948092,0.0006434541,0.0004911036,0.0001457633,0.0008119899,0.000006367308,0.000004013167,0.000002011368,0.00308612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.611754,"threshold_uncertainty_score":0.4698015,"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."}}