{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692517,0.0001631249,0.0002576952,0.000163838,0.0003639926,0.0004475074,0.0004004248,0.0002295067,0.001007637],"category_scores_gemma":[0.00026851,0.0001035179,0.0002335953,0.0001612663,0.0003000099,0.0003239732,0.0004276792,0.0004316111,0.0002001961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678228,"about_ca_system_score_gemma":0.0004369504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003774866,"about_ca_topic_score_gemma":0.007799879,"domain_scores_codex":[0.9998658,0.00002090235,0.00000951314,0.0000345151,0.00004114149,0.00002817232],"domain_scores_gemma":[0.9998723,0.00002630352,0.00004536431,0.0000147351,0.00002065138,0.00002059169],"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":[0.0002001544,0.00009301594,0.000923126,0.00007327356,0.000004733182,0.00005059973,0.00008064558,0.0004802916,0.9894447,0.0000910301,0.00006846692,0.008489969],"study_design_scores_gemma":[0.00005910728,0.003403849,0.03793344,0.00003242329,0.00005230216,0.0001703153,0.0004275311,0.006964507,0.9412066,0.0003523781,0.009329935,0.00006765492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932998,0.0004252238,0.00483434,0.0001253602,0.00001462236,0.0001046571,0.0001287607,0.0001061289,0.0009611918],"genre_scores_gemma":[0.9898179,0.0004333873,0.007887587,0.00008761257,0.00000883895,0.00007336421,0.0001522931,0.00002402776,0.001514964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003774866,"threshold_uncertainty_score":0.007505834,"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."}}