{"id":"W4239386841","doi":"10.1002/9781118945568.indsp3","title":"Index of Non‐Arthropod Taxa Arranged Alphabetically","year":2017,"lang":"en","type":"other","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Taxon; Index (typography); Citation; Arthropod; Geography; Library science; Archaeology; Ecology; Biology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004901616,0.0007506161,0.0005094631,0.006378156,0.0004481293,0.001009369,0.0006628443,0.0003171391,0.09458602],"category_scores_gemma":[0.002409124,0.0001303931,0.0003274044,0.004574835,0.0002873805,0.0007518983,0.0009068205,0.0006228577,0.03967968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915932,"about_ca_system_score_gemma":0.001079451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004659394,"about_ca_topic_score_gemma":0.01047502,"domain_scores_codex":[0.9994457,0.00005155609,0.0000732664,0.00008784768,0.0002264901,0.0001151349],"domain_scores_gemma":[0.9982467,0.000210768,0.0002833047,0.0001886943,0.0007182551,0.0003523132],"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":[0.00143275,0.0004118727,0.09778632,0.001256231,0.0001241622,0.0002760345,0.0002920308,0.0009709753,0.01221244,0.008817098,0.4445486,0.4318714],"study_design_scores_gemma":[0.0001362496,0.0001935377,0.1718169,0.0002826768,0.00007824524,0.0007419419,0.0004440515,0.001833356,0.00741791,0.005889367,0.8111249,0.00004085396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.101313,0.001568564,0.009299182,0.0006601352,0.001282815,0.0005701274,0.4537873,0.003031295,0.4284876],"genre_scores_gemma":[0.286092,0.001921306,0.04142306,0.0005805368,0.0004936071,0.000718634,0.3213851,0.001221598,0.346164],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.905414,"threshold_uncertainty_score":0.3164217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005841703197697831,"score_gpt":0.2289647552179667,"score_spread":0.2231230520202689,"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."}}