{"id":"W2902704257","doi":"10.21273/hortsci13173-18","title":"Improving Cannabis Bud Quality and Yield with Subcanopy Lighting","year":2018,"lang":"en","type":"article","venue":"HortScience","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canopy; RGB color model; Botany; Horticulture; Palatability; Biology; Chemistry; Food science","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":[],"consensus_categories":[],"category_scores_codex":[0.00031004,0.0000855004,0.00008515065,0.00003185364,0.0001724617,0.0000434795,0.0001534792,0.00004767076,0.00001582537],"category_scores_gemma":[0.0001345123,0.00006439179,0.00001892889,0.0001480573,0.0002302026,0.000006328602,0.0001220892,0.00004032634,0.000003177306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005341869,"about_ca_system_score_gemma":0.00007611652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003067556,"about_ca_topic_score_gemma":0.0008114678,"domain_scores_codex":[0.9991316,0.00002363815,0.0001142489,0.0003774304,0.0001500628,0.0002030083],"domain_scores_gemma":[0.9994861,0.000006717153,0.00007652234,0.0002566399,0.00007862588,0.00009536364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001612964,0.000006210726,0.0157077,0.000003495876,0.000004819284,0.000001952759,0.00004167393,0.000001555085,0.9803442,0.00002011776,0.002233427,0.001618714],"study_design_scores_gemma":[0.00008194567,0.0001679217,0.01067233,0.00001244194,0.000009277978,0.00002423194,0.0000941704,0.000217294,0.9783187,0.000005400251,0.01022846,0.0001678036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922317,0.00006813154,0.004292644,0.0002539892,0.00004624963,0.0000460043,0.000005058462,0.00001115578,0.003045013],"genre_scores_gemma":[0.9965568,0.00001475167,0.001341362,0.000379709,0.0001087619,0.000004506032,0.000004516486,0.000005353414,0.001584213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007995036,"threshold_uncertainty_score":0.2625821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527949998456172,"score_gpt":0.2703305672032608,"score_spread":0.255051067218699,"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."}}