{"id":"W4386895874","doi":"10.20944/preprints202309.1295.v1","title":"Phenotypic Characterization of a Diverse Population of <em>Cannabis sativa</em> for Agronomic, Morphological, and Biochemical Traits","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Cannabis; Population; Cannabis sativa; Biotechnology; Germination; Phenotypic trait; Botany; Phenotype; Psychology; Demography; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002204941,0.0002223114,0.0002491541,0.0007766308,0.001063893,0.0003723036,0.0003299139,0.0002073943,0.002082333],"category_scores_gemma":[0.0002938891,0.0001056455,0.0002583343,0.0008601176,0.0004315893,0.0001101627,0.0003767419,0.0003469065,0.0005932966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00092916,"about_ca_system_score_gemma":0.0009401799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1245396,"about_ca_topic_score_gemma":0.3018451,"domain_scores_codex":[0.9998091,0.00001192135,0.000008974206,0.00007024298,0.00006708341,0.00003268942],"domain_scores_gemma":[0.999732,0.00003167422,0.0000325453,0.0000424385,0.00009765394,0.00006376304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002856782,0.0001159852,0.07490508,0.0000622154,0.0000820484,0.00107845,0.001964444,0.0001531682,0.8976724,0.0005276807,0.001041458,0.02211135],"study_design_scores_gemma":[0.0000131229,0.00007795836,0.9730394,0.00001079986,0.00005072257,0.0009524052,0.0006787683,0.0005087219,0.01480119,0.00007879851,0.009755155,0.00003287217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914555,0.0001721696,0.001691801,0.00006074717,0.0000110241,0.00006784791,0.003811097,0.00004139853,0.002688525],"genre_scores_gemma":[0.9790567,0.0002294837,0.004289457,0.0001183219,0.000007138241,0.00007821173,0.007358929,0.0001004803,0.008761241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245396,"threshold_uncertainty_score":0.2476294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08774704303886095,"score_gpt":0.336279907017806,"score_spread":0.248532863978945,"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."}}