{"id":"W4253812581","doi":"10.1515/iupac.81.0473","title":"Indigenous","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.001529303,0.001365163,0.001206005,0.004099606,0.001362242,0.003962197,0.002827232,0.001755213,0.1920943],"category_scores_gemma":[0.0132314,0.0006659184,0.001381261,0.008303911,0.0004835874,0.003410877,0.002978439,0.002103643,0.2514749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044082,"about_ca_system_score_gemma":0.003715775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03017533,"about_ca_topic_score_gemma":0.0553644,"domain_scores_codex":[0.9970648,0.0004873684,0.0004040982,0.0009577673,0.0007072738,0.0003786936],"domain_scores_gemma":[0.9948586,0.001107958,0.0004210522,0.001300777,0.001961406,0.0003502429],"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":[0.00005530644,0.00001440411,0.001034449,0.0005785424,0.00001555885,0.00001856122,0.00005028021,0.00009917519,0.00007213437,0.001324235,0.9913173,0.005420153],"study_design_scores_gemma":[0.0000440355,0.000007209579,0.001819435,0.0003096215,0.00001119356,0.0000406395,0.0001202666,0.000106064,0.0001039706,0.001120404,0.9963022,0.00001490878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001888259,0.000121464,0.000152725,0.0002068236,0.00006497221,0.00002722522,0.9942243,0.0003165694,0.004697048],"genre_scores_gemma":[0.0004695083,0.0001272314,0.0004295415,0.0001923046,0.00001424575,0.0001066528,0.9952279,0.000111017,0.003321568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8079057,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512259877500238,"score_gpt":0.4148894496132057,"score_spread":0.3997668508382033,"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."}}