{"id":"W2945708482","doi":"10.1089/can.2018.0015","title":"Cannabinoid Inheritance Relies on Complex Genetic Architecture","year":2019,"lang":"en","type":"article","venue":"Cannabis and Cannabinoid Research","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannabinoid; Cannabidiol; Genetic architecture; Biology; Inheritance (genetic algorithm); Trait; Quantitative trait locus; Genetics; Genetic model; Cannabis; Gene; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001631637,0.0007723621,0.001123343,0.001295448,0.0007574091,0.0003594411,0.000702815,0.0005066543,0.001990678],"category_scores_gemma":[0.0004827528,0.000650216,0.0003617388,0.001901091,0.001367048,0.0001620523,0.0005363188,0.002721231,0.0006437033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849565,"about_ca_system_score_gemma":0.001540513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163325,"about_ca_topic_score_gemma":0.0002348227,"domain_scores_codex":[0.9912969,0.0005342643,0.0008189735,0.001910474,0.00289339,0.002546028],"domain_scores_gemma":[0.9948214,0.00004547347,0.0001386953,0.001917952,0.001515529,0.001560902],"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":[0.001355125,0.0005360494,0.01343081,0.001260988,0.000137738,0.000467091,0.001054181,0.0001288679,0.04961241,0.003115265,0.8804709,0.0484306],"study_design_scores_gemma":[0.002359476,0.002830938,0.2600838,0.0002378808,0.00003226516,0.0003577398,0.0009032178,0.000269663,0.002403703,0.0006614946,0.7292143,0.0006455288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8765178,0.003507199,0.00001612008,0.08714452,0.0003842157,0.002962806,0.0001050252,0.0001977937,0.0291645],"genre_scores_gemma":[0.7774904,0.0007107498,0.0003079992,0.002687341,0.000669557,0.0007000053,0.0000765165,0.0002177716,0.2171397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.246653,"threshold_uncertainty_score":0.9995949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436735793664168,"score_gpt":0.3312187219502548,"score_spread":0.2968513640136131,"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."}}