{"id":"W6958747053","doi":"10.6084/m9.figshare.26686944.v1","title":"Additional file 7 of Characterization of indigenous populations of cannabis in Iran: a morphological and phenological study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001920144,0.00005763932,0.0001389086,0.0000210484,0.00002050582,0.000007696086,0.00007078844,0.00005562328,0.9073302],"category_scores_gemma":[0.0002202357,0.00002431716,0.00003608381,0.0002528014,0.00001332608,0.00005199741,0.00004858783,0.00005456173,0.0000199661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006829031,"about_ca_system_score_gemma":0.00001089007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004508484,"about_ca_topic_score_gemma":0.0001955238,"domain_scores_codex":[0.999469,0.00003317,0.0002015229,0.0001317325,0.00008711812,0.00007743271],"domain_scores_gemma":[0.9996207,0.0002348073,0.00006620998,0.00002307159,0.00003335714,0.00002190089],"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":[0.0000594504,0.001455495,0.01137008,0.000226549,0.00004439381,0.00007586016,0.003484113,0.000005759718,0.02697892,0.00005000188,0.8463833,0.109866],"study_design_scores_gemma":[0.0000357867,0.0002664044,0.9768535,0.0002541161,0.000002546165,0.000003861931,0.0001806477,0.00004002851,0.00006712457,0.00003577939,0.02220982,0.00005038664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4945574,0.00001184591,1.191004e-8,0.00001748663,0.000003307811,0.0001220991,0.5052016,0.000006495779,0.00007972868],"genre_scores_gemma":[0.6277286,2.955874e-7,0.000009703762,0.000004443362,0.00001654846,0.0001371351,0.3720631,2.874728e-7,0.00003985532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9654834,"threshold_uncertainty_score":0.0991625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848020858296755,"score_gpt":0.2410560792924728,"score_spread":0.1925758707095053,"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."}}