{"id":"W3094364226","doi":"10.1002/ajb2.1550","title":"Validating a predictive model of cannabinoid inheritance with feral, clinical, and industrial <i>Cannabis sativa</i>","year":2020,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; United States Drug Enforcement Administration; Directorate for Biological Sciences; University of Minnesota; Minnesota Department of Natural Resources; Department of Natural Resources; Minnesota Department of Transportation; Minnesota Department of Agriculture; U.S. Department of Transportation","keywords":"Biology; Cannabinoid; Cannabis sativa; Genotype; Cannabidiol; Cultivar; Botany; Cannabis; Genetics; Horticulture; Gene","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":[0.0006412557,0.0002171826,0.001052278,0.0001028574,0.00006622988,0.00003109912,0.0001859192,0.00007791805,0.00002433122],"category_scores_gemma":[0.0006975845,0.0001596492,0.0001907999,0.0006327557,0.001198705,0.0001829505,0.00007908166,0.000930256,5.980191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827438,"about_ca_system_score_gemma":0.001353413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009505505,"about_ca_topic_score_gemma":0.000006991267,"domain_scores_codex":[0.9974082,0.0001718758,0.001011256,0.0002955339,0.0007769578,0.0003361985],"domain_scores_gemma":[0.9972588,0.00003049818,0.0009803554,0.0002100566,0.0007790833,0.0007411639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03503646,0.001168575,0.4237556,0.0003375697,0.001958971,0.0006374094,0.007544503,0.001709176,0.08128739,0.000162008,0.2098579,0.2365445],"study_design_scores_gemma":[0.09052677,0.3829207,0.229572,0.006407728,0.004753679,0.005297616,0.06040225,0.07754403,0.05028101,0.0007199128,0.08749511,0.004079149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689908,0.0003705574,0.001183803,0.02874846,0.00004940362,0.0002986879,0.00003768434,0.00001331306,0.0003072673],"genre_scores_gemma":[0.9945118,0.0002545199,0.003166234,0.001292936,0.000487801,0.000008241182,7.90008e-7,0.00004091764,0.000236755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3817521,"threshold_uncertainty_score":0.6510307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905781945317395,"score_gpt":0.3169113999240523,"score_spread":0.2678535804708783,"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."}}