{"id":"W6977266594","doi":"10.6084/m9.figshare.26686926","title":"Additional file 1 of Characterization of indigenous populations of cannabis in Iran: a morphological and phenological study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Phenology; Indigenous; Population; Mediterranean climate; Cannabis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004810356,0.0005961444,0.0005969438,0.003021258,0.0005673841,0.000640012,0.001105205,0.0004724501,0.7584923],"category_scores_gemma":[0.006411237,0.000300735,0.0004273498,0.004242981,0.0001779831,0.0006964214,0.0005528711,0.0003178689,0.1070473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277611,"about_ca_system_score_gemma":0.0009571731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019446,"about_ca_topic_score_gemma":0.01922057,"domain_scores_codex":[0.999754,0.00003139954,0.00004844924,0.00006992798,0.00004872513,0.00004741022],"domain_scores_gemma":[0.995461,0.002834656,0.0004052884,0.0003190433,0.000806701,0.0001732336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002822651,0.0002207447,0.01263583,0.003029417,0.00006829722,0.0002592677,0.0003527618,0.0007053281,0.0007186004,0.0005359169,0.9469064,0.03428521],"study_design_scores_gemma":[0.001255272,0.0002497474,0.1395318,0.001717339,0.0001784379,0.001065684,0.00200298,0.001418891,0.0012093,0.004541894,0.8467015,0.0001271777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001372411,0.00002725636,0.000275993,0.00005318095,0.00002834503,0.0001055043,0.9960805,0.0001930527,0.001863808],"genre_scores_gemma":[0.02254725,0.0001867461,0.006992227,0.0003212176,0.0001005086,0.001670234,0.9551566,0.0005128488,0.01251237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7584923,"threshold_uncertainty_score":0.3444814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091298032361414,"score_gpt":0.3188856093461664,"score_spread":0.2579726290225523,"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."}}