{"id":"W2977272067","doi":"10.21083/ibol.v9i1.5527","title":"BIOSCAN is Mapping Biodiversity and Supporting Sustainability","year":2019,"lang":"en","type":"article","venue":"iBOL Barcode Bulletin","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biodiversity; Sustainability; Environmental resource management; Geography; Business; Environmental planning; Environmental science; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007054317,0.0008210869,0.0003711435,0.007707257,0.001575317,0.004597735,0.001202874,0.001382556,0.03632001],"category_scores_gemma":[0.01089786,0.0004148287,0.0002498935,0.005940543,0.001581768,0.003649654,0.00293227,0.001643985,0.01172143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003128271,"about_ca_system_score_gemma":0.01186672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07723143,"about_ca_topic_score_gemma":0.08785854,"domain_scores_codex":[0.9961152,0.000499433,0.0001392164,0.0002500476,0.002623212,0.0003729592],"domain_scores_gemma":[0.9850885,0.002589991,0.001267971,0.001322585,0.007462353,0.002268514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001812934,0.000122213,0.008106054,0.0003428194,0.00001914459,0.0000781989,0.0004932514,0.0004477657,0.005272356,0.02588348,0.5821373,0.3769162],"study_design_scores_gemma":[0.000008988605,0.00001273949,0.003894249,0.00006786796,0.000005118467,0.00002137975,0.0001811937,0.0001573249,0.001783243,0.002181744,0.9916747,0.00001129477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01567733,0.004852658,0.0237497,0.02865577,0.003252781,0.0004168273,0.04199041,0.01243666,0.8689678],"genre_scores_gemma":[0.1531214,0.01282423,0.1352017,0.01354462,0.002497455,0.001139033,0.108592,0.007580784,0.5654988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07723143,"threshold_uncertainty_score":0.1535638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006946304031845665,"score_gpt":0.1887165249009645,"score_spread":0.1817702208691188,"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."}}