{"id":"W4230420285","doi":"10.2305/iucn.uk.2016-2.rlts.t18597a46364962.en","title":"Pseudoryx nghetinhensis: Timmins, R.J., Hedges, S. &amp; Robichaud, W.","year":2015,"lang":"sv","type":"dataset","venue":"IUCN Red List of Threatened Species","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IUCN Red List; Threatened species; Geography; Biology; Ecology; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006685806,0.001250709,0.001003122,0.003812567,0.0007971867,0.001511158,0.002014311,0.000830655,0.08526971],"category_scores_gemma":[0.001914973,0.0004800116,0.0006546829,0.005065792,0.0003361428,0.001275412,0.001640509,0.001133675,0.05699784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801763,"about_ca_system_score_gemma":0.001335155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497092,"about_ca_topic_score_gemma":0.03983382,"domain_scores_codex":[0.9994882,0.00005754056,0.00008375201,0.0001655173,0.0001353135,0.00006952079],"domain_scores_gemma":[0.9990766,0.0001998299,0.0002398377,0.0001904881,0.0002049499,0.00008823244],"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":[0.0001035465,0.00002013828,0.004466907,0.002707936,0.0000694185,0.00007911958,0.0001143204,0.0003036807,0.0004322706,0.001204933,0.9792559,0.01124192],"study_design_scores_gemma":[0.00007048281,0.000009457189,0.01081284,0.0004365035,0.00003176224,0.0000799125,0.00007846954,0.0001273395,0.000216453,0.0007186912,0.9874027,0.00001530478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003721085,0.0001436267,0.0001230849,0.00003744691,0.00001961401,0.00001372924,0.9973604,0.000167911,0.001762044],"genre_scores_gemma":[0.001246353,0.0001530834,0.0005799148,0.00004533774,0.000008091453,0.00009015464,0.9965145,0.00005978695,0.001302818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08526971,"threshold_uncertainty_score":0.2852556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06374665839908177,"score_gpt":0.2785158201264321,"score_spread":0.2147691617273503,"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."}}