{"id":"W2887767497","doi":"10.1111/2041-210x.13080","title":"A spatial point process model to estimate individual centres of activity from passive acoustic telemetry data","year":2018,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"MIT Sea Grant, Massachusetts Institute of Technology; National Oceanic and Atmospheric Administration","keywords":"Telemetry; Computer science; Process (computing); Data mining; Statistics; Environmental science; Mathematics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00452032,0.0007166358,0.0009341732,0.001659083,0.0004596916,0.001410824,0.003476884,0.001736958,0.002300598],"category_scores_gemma":[0.01179652,0.0008387559,0.001705443,0.001967645,0.00163579,0.002048267,0.001352697,0.001583777,0.000601299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125122,"about_ca_system_score_gemma":0.001077209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02744574,"about_ca_topic_score_gemma":0.01591438,"domain_scores_codex":[0.9982723,0.000600251,0.00009301282,0.000594365,0.0002814039,0.0001585561],"domain_scores_gemma":[0.9928477,0.004710447,0.0009022207,0.0004957756,0.0008929818,0.0001508099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009589923,0.00006635433,0.02023376,0.00004782473,0.0001324244,0.0001278918,0.0002454528,0.9435234,0.001291537,0.01590751,0.0005082798,0.01781971],"study_design_scores_gemma":[0.000009624711,0.00003395613,0.002421781,0.000007060943,0.00001762256,0.00002768589,0.00002895472,0.9928517,0.0001669297,0.004166563,0.0002545052,0.00001368733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1843076,0.0001532945,0.8124787,0.0003458864,0.0000556847,0.0001542418,0.00055277,0.000330496,0.001621288],"genre_scores_gemma":[0.938007,0.0001603921,0.05578577,0.00008056566,0.00004025416,0.0004388586,0.0006409771,0.00004903996,0.004797162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02744574,"threshold_uncertainty_score":0.05457199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365309427538186,"score_gpt":0.364579078561437,"score_spread":0.3309259842860551,"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."}}