{"id":"W4388088560","doi":"10.20944/preprints202310.1852.v1","title":"Challenges to <em>Cannabis sativa </em>Production from Pathogens and Microbes – the Role of Molecular Diagnostics and Bioinformatics","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Coquitlam College; Riverview Hospital; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency; Colorado State University","keywords":"Cannabis sativa; Biology; Biotechnology; Multiplex; Cannabis; Multiplex polymerase chain reaction; Computational biology; Genomics; Polymerase chain reaction; Genome; Genetics; Botany; Gene; Medicine","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":[0.0007962291,0.0003553852,0.0004875341,0.00005463315,0.0002394589,0.00006475578,0.0005655538,0.000235699,0.00003872272],"category_scores_gemma":[0.002199761,0.0001546685,0.0001081778,0.0002087821,0.0002190575,0.00007686542,0.003839561,0.0004067927,0.0001083758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003818648,"about_ca_system_score_gemma":0.00002157109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003926276,"about_ca_topic_score_gemma":0.002119913,"domain_scores_codex":[0.9976391,0.0002033658,0.0004622666,0.0007862105,0.0005007191,0.000408328],"domain_scores_gemma":[0.9984782,0.0005112267,0.0002501738,0.0003668935,0.000231016,0.0001625333],"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":[0.00003959888,0.00007406966,0.02091181,0.000139277,0.0002232592,0.000009125049,0.005228468,0.00005616209,0.9178574,0.00007809784,0.0003684427,0.05501429],"study_design_scores_gemma":[0.00008045833,0.0000791758,0.8060443,0.0003149401,0.00007853113,0.000006040203,0.00347284,0.00008665471,0.1716452,0.004557556,0.01321116,0.0004231877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857811,0.006640785,0.000003197043,0.004771142,0.000184557,0.000882636,0.001380966,0.00009242419,0.0002631874],"genre_scores_gemma":[0.9562792,0.0427705,0.0002500987,0.00006294443,0.0001937204,0.0001624117,0.0001435197,0.000005694415,0.0001318816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851325,"threshold_uncertainty_score":0.63072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08453004657389071,"score_gpt":0.2903293665688252,"score_spread":0.2057993199949345,"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."}}