{"id":"W4391610626","doi":"10.20944/preprints202402.0361.v1","title":"Integrated Management of Pathogens and Microbes on &lt;em&gt;Cannabis sativa&lt;/em&gt; L. (Cannabis) under Greenhouse Conditions","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Coffee research and impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannabis sativa; Cannabis; Greenhouse; Greenhouse gas; Biology; Environmental science; Biotechnology; Medicine; Horticulture; Ecology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887949,0.0003185524,0.0003754588,0.0004110021,0.0005266843,0.0005814321,0.0006126754,0.0002567476,0.0009136156],"category_scores_gemma":[0.0001189564,0.0001114055,0.0002962984,0.0001916103,0.000225426,0.0003025638,0.0005766791,0.0005748404,0.0002292346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137823,"about_ca_system_score_gemma":0.0009050622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178136,"about_ca_topic_score_gemma":0.02124191,"domain_scores_codex":[0.9998185,0.00002151144,0.000008660569,0.00004088189,0.00005803869,0.00005235255],"domain_scores_gemma":[0.9998426,0.00001321816,0.00003739064,0.0000130715,0.00003069069,0.00006302644],"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":[0.0001522025,0.00007825454,0.0008030711,0.00007193418,0.000009845528,0.0001084743,0.00005181057,0.000263724,0.9914951,0.0001069997,0.00008342013,0.006775138],"study_design_scores_gemma":[0.00008161171,0.003284669,0.07056402,0.0001036748,0.0002214188,0.0003891228,0.0007996092,0.00760624,0.8898785,0.0003633743,0.02660309,0.0001047064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990571,0.0009031266,0.003448587,0.0001801188,0.00004038916,0.0001780523,0.0004258986,0.0002048756,0.004048009],"genre_scores_gemma":[0.9821001,0.0009169394,0.009869754,0.0001251484,0.00001158113,0.0001741494,0.0007363944,0.0000432064,0.006022762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178136,"threshold_uncertainty_score":0.02342558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07598800483584589,"score_gpt":0.3507553337828427,"score_spread":0.2747673289469968,"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."}}