{"id":"W4308548364","doi":"10.3390/plants11212982","title":"Light Quality Impacts Vertical Growth Rate, Phytochemical Yield and Cannabinoid Production Efficiency in Cannabis sativa","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannabis sativa; Phytochemical; Yield (engineering); Cannabinoid; Production (economics); Biology; Traditional medicine; Horticulture; Botany; Medicine; Economics; Materials science; Biochemistry","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":[0.0005024499,0.00008737363,0.0001296761,0.00001937981,0.0002192702,0.00002498689,0.0001331522,0.00004238429,0.0001690452],"category_scores_gemma":[0.0003926633,0.00003518549,0.00002397829,0.000325101,0.00003355812,0.00006601224,0.0001274977,0.000247564,0.000005987448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006245149,"about_ca_system_score_gemma":0.00002316346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951755,"about_ca_topic_score_gemma":0.001454264,"domain_scores_codex":[0.9987847,0.0001499722,0.000156165,0.0002938306,0.0002714885,0.0003438123],"domain_scores_gemma":[0.9996974,0.0000942357,0.00002143184,0.00003800276,0.00002556478,0.000123295],"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":[0.00009766903,0.0001592782,0.04752615,0.00001280636,0.000002826622,0.00001275927,0.0002303382,0.000001537146,0.9471676,0.00002185816,0.003360321,0.001406843],"study_design_scores_gemma":[0.0001040255,0.0001637566,0.9308631,0.0000100442,0.000001701353,0.00002491931,0.0004201542,0.00002316995,0.06744397,0.0001236767,0.0006973357,0.0001241743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893604,0.0001336119,7.751965e-8,0.009803948,0.00009346523,0.0001884118,0.00002684729,0.0000221934,0.0003710322],"genre_scores_gemma":[0.9995934,0.0000314022,0.000001461716,0.00007672515,0.00009223054,0.00003342485,0.00001951836,6.344081e-7,0.0001511608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8833369,"threshold_uncertainty_score":0.4462191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077885516580977,"score_gpt":0.272645901752337,"score_spread":0.2418670465865272,"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."}}