{"id":"W7037781841","doi":"","title":"Ep.32 - Families of MMIW: \"What Can We Do Tomorrow?\"","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sister; Government (linguistics); Indigenous; Human rights","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007991669,0.0007489606,0.0003318289,0.0007152699,0.003176745,0.003226004,0.001001686,0.0066282,0.4482896],"category_scores_gemma":[0.003588544,0.0004666521,0.0003200214,0.0008963144,0.0008810095,0.002833031,0.002406068,0.003605381,0.288303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876525,"about_ca_system_score_gemma":0.002029213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05360885,"about_ca_topic_score_gemma":0.1041729,"domain_scores_codex":[0.9994637,0.0001167434,0.00003091806,0.00006481417,0.0001837983,0.0001400244],"domain_scores_gemma":[0.9991661,0.0002751376,0.00004497336,0.00005474502,0.0002931365,0.0001658701],"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":[0.00001235495,0.000007774159,0.0001176826,0.00004391004,6.235638e-7,0.00005363551,0.0002743127,0.000008744824,0.00006085483,0.0044727,0.9856957,0.009251826],"study_design_scores_gemma":[0.000004625063,0.000004927821,0.001024186,0.0000998493,7.151215e-7,0.00002916035,0.0003700863,0.00000822336,0.00003215136,0.000441266,0.997981,0.000003743497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00057338,0.002524626,0.0002244079,0.01738611,0.002960126,0.0001276965,0.003092975,0.0003731793,0.9727375],"genre_scores_gemma":[0.002190902,0.000663169,0.0000820097,0.007762072,0.0003534064,0.00008969315,0.0004588898,0.0001232254,0.9882765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4482896,"threshold_uncertainty_score":0.7869478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008988802914974513,"score_gpt":0.1753107941674246,"score_spread":0.1663219912524501,"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."}}