{"id":"W4323054885","doi":"10.24272/j.issn.2095-8137.2022.358","title":"Three-dimensional assessment of movement patterns of Sichuan snub-nosed monkeys affected by habitat structure in temperate forests","year":2023,"lang":"en","type":"letter","venue":"动物学研究","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Island University; University of British Columbia","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Temperate climate; Temperate rainforest; Habitat; Geography; Temperate forest; Movement (music); Ecology; Biology; Ecosystem; Art","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000163505,0.0002862295,0.0004378322,0.0001011347,0.00004971193,0.000008811641,0.0003079352,0.0005427214,0.001191553],"category_scores_gemma":[0.00002629768,0.0002639336,0.00008968546,0.0002448285,0.0001256495,0.00009779938,0.0002106322,0.0006977736,0.00003040885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099415,"about_ca_system_score_gemma":0.00005012702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001998961,"about_ca_topic_score_gemma":0.01975284,"domain_scores_codex":[0.9979913,0.0001306008,0.0005079344,0.0004674126,0.0005626042,0.0003402105],"domain_scores_gemma":[0.9990565,0.0001693621,0.0003580914,0.0003588996,0.00002050514,0.00003662169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006795486,0.00005400523,0.6619848,0.00005682785,0.00003553401,0.00002288473,0.00002452299,0.0005487661,0.005085389,0.000004661704,0.3320915,0.00008436632],"study_design_scores_gemma":[0.0005536979,0.0001516411,0.9946012,0.00009698061,0.00002746046,7.532669e-7,0.000006493092,0.00133538,0.001042746,0.000787218,0.001165195,0.0002312235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653834,0.00000830332,0.00004551787,0.03319054,0.0003259467,0.0005454395,0.0004175262,0.00002592305,0.00005746919],"genre_scores_gemma":[0.9331098,0.000004344854,0.0002854217,0.06418178,0.000128303,0.00008002621,0.001562602,0.00005053167,0.0005972523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326164,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847597643244172,"score_gpt":0.2327494711902193,"score_spread":0.2239018735469751,"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."}}