{"id":"W2293826823","doi":"10.14288/1.0071574","title":"Forest biomonitoring, biosecurity and DNA barcoding","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biomonitoring; Biosecurity; DNA barcoding; Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009170015,0.000377372,0.0003065746,0.003377858,0.001316682,0.001044336,0.0007095832,0.0003130408,0.001467512],"category_scores_gemma":[0.001497183,0.0001986002,0.0001727971,0.003650587,0.0006556429,0.0004682392,0.0005171834,0.0003301486,0.0005396417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505436,"about_ca_system_score_gemma":0.005587972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4689234,"about_ca_topic_score_gemma":0.7365317,"domain_scores_codex":[0.9987162,0.0001210853,0.00005770316,0.0002002277,0.000729155,0.0001755826],"domain_scores_gemma":[0.9985343,0.0001553279,0.0003296623,0.0001061378,0.0007682361,0.0001063407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216906,0.0001131705,0.4449371,0.0004406397,0.00006663821,0.0002864032,0.002025597,0.001659883,0.1280822,0.001214438,0.003055949,0.4179964],"study_design_scores_gemma":[0.000005017621,0.0001458807,0.9296604,0.0001607409,0.00005081274,0.0004185971,0.002696832,0.002244967,0.03107852,0.0005424017,0.03294956,0.00004633162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248878,0.004023512,0.03699407,0.000600099,0.00005226209,0.0006686682,0.008684129,0.0004816822,0.02360777],"genre_scores_gemma":[0.8379743,0.004868207,0.1214,0.0004685948,0.00002710771,0.0003575932,0.01065061,0.00007587639,0.02417781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4689234,"threshold_uncertainty_score":0.9323879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009444775296884944,"score_gpt":0.165330467489041,"score_spread":0.1558856921921561,"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."}}