{"id":"W2142464123","doi":"","title":"DNA MICROARRAYS ON AGAROSE-COATED GLASS SLIDES FOR PLANT PATHOGEN IDENTIFICATION","year":2005,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Agarose; Oligonucleotide; DNA microarray; Substrate (aquarium); Botrytis cinerea; DNA; Materials science; Chemistry; Chromatography; Biology; Gene; Biochemistry; Gene expression; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005221128,0.0009241636,0.0007212118,0.001158411,0.0005883006,0.0005604362,0.001029591,0.0007217719,0.01085295],"category_scores_gemma":[0.0004910832,0.0008581042,0.0006704847,0.0008595912,0.0001952708,0.0005224586,0.0004263497,0.00129787,0.007617287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004847439,"about_ca_system_score_gemma":0.0003773603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005985815,"about_ca_topic_score_gemma":0.001489783,"domain_scores_codex":[0.9994055,0.000102861,0.00004473489,0.0001611692,0.0002049657,0.00008087652],"domain_scores_gemma":[0.9997328,0.0001082001,0.00001971384,0.0000357383,0.00007530669,0.00002831727],"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":[0.00004277046,0.00002619714,0.00005072133,0.0001868677,0.00001359738,0.00004475629,0.00001935359,0.000157816,0.9883307,0.0003415587,0.0007517338,0.01003406],"study_design_scores_gemma":[0.0000330269,0.0002390205,0.001815298,0.00005236671,0.00005950667,0.0003310171,0.00003330686,0.003022639,0.9393123,0.0006918656,0.0543833,0.00002644448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1102694,0.01632522,0.8147256,0.001230101,0.001252843,0.0019862,0.006772468,0.006478033,0.04096019],"genre_scores_gemma":[0.1271104,0.01609426,0.7812111,0.0004634661,0.0001817819,0.00278413,0.01491718,0.0006817487,0.05655587],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01085295,"threshold_uncertainty_score":0.03630668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009972093952709031,"score_gpt":0.2125593977751484,"score_spread":0.2025873038224394,"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."}}