{"id":"W2781640022","doi":"","title":"Irrigation Management Strategies for Medical Cannabis in Controlled Environments","year":2017,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Medical cannabis; Irrigation; Environmental science; Medicine; Geography; Forestry; Water resource management; Ecology; Biology; Psychiatry","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":[0.000677238,0.0001713908,0.0005532129,0.0002345455,0.0002432953,0.00002398626,0.0005090149,0.0002717594,0.0005254171],"category_scores_gemma":[0.0000631086,0.000147608,0.0002933329,0.00008498665,0.0001893093,0.00009927826,0.00005518463,0.0003145791,0.00001415449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672486,"about_ca_system_score_gemma":0.0004735824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549494,"about_ca_topic_score_gemma":0.003329775,"domain_scores_codex":[0.9984296,0.00005908551,0.0002104302,0.0002736439,0.0007659217,0.0002613352],"domain_scores_gemma":[0.9990173,0.00001761929,0.0002897131,0.0004721373,0.00008587973,0.0001173571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0990309,0.002632654,0.001262678,0.01340352,0.005657418,0.001722239,0.02406024,0.000161576,0.05566809,0.03670966,0.5579752,0.2017158],"study_design_scores_gemma":[0.03823237,0.0008125239,0.6725807,0.001002308,0.001613675,0.00001344085,0.0740266,0.001353195,0.0002238962,0.003457204,0.2061459,0.0005382645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8389353,0.001543287,0.0003754355,0.0374555,0.0007778955,0.007654021,0.0001132753,0.00004053969,0.1131048],"genre_scores_gemma":[0.7295071,0.0004364275,0.00003793218,0.00003600987,0.00007043433,0.00001421752,0.0004565491,0.0000182896,0.269423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.671318,"threshold_uncertainty_score":0.6019279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372575392498936,"score_gpt":0.2754296763465119,"score_spread":0.2617039224215226,"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."}}