{"id":"W4245929593","doi":"10.2305/iucn.uk.2021-2.rlts.t8540a200639312.en","title":"Felis chaus: Gray, T.N.E., Timmins, R.J., Jathana, D., Duckworth, J.W., Baral, H. &amp; Mukherjee, S.","year":2014,"lang":"en","type":"dataset","venue":"IUCN Red List of Threatened Species","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IUCN Red List; Gray (unit); Threatened species; Felis; Humanities; Geography; Biology; Zoology; Ecology; Philosophy; Computer science; Medicine; Habitat; Nuclear medicine","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":[0.0007485439,0.001122072,0.001094207,0.004657974,0.0006763722,0.001331922,0.002004502,0.001211102,0.09989666],"category_scores_gemma":[0.005801046,0.0004589615,0.0006591753,0.005622758,0.0002738898,0.001352991,0.001422525,0.001356662,0.05077165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132426,"about_ca_system_score_gemma":0.00163041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05049963,"about_ca_topic_score_gemma":0.1084013,"domain_scores_codex":[0.9993788,0.0000768318,0.00008739693,0.0002158907,0.0001370713,0.0001038301],"domain_scores_gemma":[0.9980106,0.0005289912,0.0004255127,0.0002796521,0.0005182206,0.0002369537],"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":[0.0000650573,0.00001425121,0.004119757,0.001323762,0.00004281476,0.00002526531,0.0000311454,0.0001242377,0.00006178504,0.0004817963,0.9900794,0.00363077],"study_design_scores_gemma":[0.000231289,0.00001425552,0.02274583,0.001190895,0.00006429123,0.0001095562,0.0001203028,0.0002484383,0.0002162316,0.001302619,0.9737257,0.00003069787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001692713,0.000106002,0.00003233339,0.00005484852,0.00001095852,0.000009458586,0.9987398,0.00005719433,0.0008200727],"genre_scores_gemma":[0.001422514,0.0001584613,0.000317682,0.0001026375,0.00001609124,0.0001192271,0.9964671,0.00004022832,0.001356122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09989666,"threshold_uncertainty_score":0.3341876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228920382702742,"score_gpt":0.235338061795667,"score_spread":0.2030488579686395,"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."}}