{"id":"W4410183159","doi":"10.1017/s1557466010009198","title":"Natural Environments, Wildlife, and Conservation in Japan","year":2010,"lang":"en","type":"article","venue":"Japan focus","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Wildlife; Wildlife conservation; Natural (archaeology); Geography; North American Model of Wildlife Conservation; Environmental resource management; Nature Conservation; Environmental planning; Environmental science; Ecology; Biology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264327,0.00006865441,0.00009181716,0.000008190951,0.0001228698,0.00001541671,0.00006333394,0.00007441829,0.0001349838],"category_scores_gemma":[0.00004422142,0.00002857553,0.00001685889,0.00009149798,0.0001005054,0.0000874587,0.00004112846,0.0001598994,0.00002843138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005644079,"about_ca_system_score_gemma":0.000002304415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000468785,"about_ca_topic_score_gemma":0.02752875,"domain_scores_codex":[0.9995105,0.00002428026,0.00011682,0.0001507312,0.00005682901,0.000140861],"domain_scores_gemma":[0.9997546,0.0001380009,0.00004067581,0.00002771377,0.000008091421,0.00003090169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001010974,0.00002638765,0.8981891,7.579234e-7,0.000004683923,6.476601e-7,0.000071259,3.189027e-8,0.0722994,0.001834926,0.0005223876,0.02704037],"study_design_scores_gemma":[0.000117253,0.00003079178,0.9524823,0.000002008444,0.000002722108,0.00000342619,0.0002276222,0.00001941162,0.0003564425,0.001003996,0.04568118,0.0000728383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870527,0.00009453224,8.13809e-8,0.01204062,0.0001182194,0.00008253327,0.000004111735,0.00001715457,0.0005899998],"genre_scores_gemma":[0.9976158,0.00003046784,0.00003259962,0.001594056,0.00006213498,0.00001571825,0.00001282759,3.540619e-7,0.0006360163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07194296,"threshold_uncertainty_score":0.9902163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103412550557854,"score_gpt":0.200700022513759,"score_spread":0.1903587674579736,"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."}}