{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009389091,0.0007983521,0.001126916,0.0009437585,0.0001431884,0.00008800595,0.0005164421,0.0004971051,0.002111302],"category_scores_gemma":[0.0004586471,0.0007038877,0.0004646715,0.0006115912,0.0004002734,0.00008771991,0.002999967,0.001846932,0.001090825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006098024,"about_ca_system_score_gemma":0.0006560034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003137724,"about_ca_topic_score_gemma":0.0004092108,"domain_scores_codex":[0.9952476,0.0002847723,0.0009458445,0.001593142,0.001021239,0.0009074187],"domain_scores_gemma":[0.9962677,0.0000872058,0.0003107251,0.001992146,0.00055426,0.0007879882],"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":[0.003525459,0.005174908,0.07384777,0.02661571,0.01420761,0.003245934,0.009404585,0.000614764,0.7220278,0.01023355,0.09594645,0.03515551],"study_design_scores_gemma":[0.002923258,0.0006436874,0.8730983,0.008694342,0.001415627,0.0001552015,0.001662893,0.0002862558,0.07271828,0.009335164,0.02785379,0.001213168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785102,0.00113125,0.00007553394,0.005282666,0.0004310386,0.002600945,0.000940703,0.0003241426,0.01070354],"genre_scores_gemma":[0.9759429,0.001932679,0.0002810465,0.0003427854,0.0001646842,0.0003738821,0.000500029,0.0001614788,0.02030048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7992505,"threshold_uncertainty_score":0.999687,"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."}}