{"id":"W2793531504","doi":"10.1002/fsh.10027","title":"PITR: A New Open Source R Package for PIT Telemetry Data","year":2018,"lang":"en","type":"article","venue":"Fisheries","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"InStream Fisheries Research (Canada)","funders":"","keywords":"Telemetry; Open source; R package; Computer science; Operating system; Telecommunications; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003457955,0.0001329449,0.0002198161,0.00004161082,0.0003421995,0.001221455,0.004100582,0.00004532205,0.0003833875],"category_scores_gemma":[0.000219004,0.0001149948,0.00005351516,0.000381964,0.00008846964,0.001810709,0.00339942,0.00006103067,0.00007716583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000122292,"about_ca_system_score_gemma":0.00009615158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004406347,"about_ca_topic_score_gemma":0.0004341376,"domain_scores_codex":[0.9987555,0.00002187802,0.0002258278,0.0005264962,0.0001526738,0.000317657],"domain_scores_gemma":[0.9979818,0.00007563529,0.0001174461,0.001632438,0.00008468462,0.0001080087],"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":[0.00002706684,0.00002930811,0.002134079,0.00001646838,0.00007807834,0.000002356436,0.001553984,0.000001214962,0.0001760594,0.006366619,0.5985048,0.3911099],"study_design_scores_gemma":[0.0002417144,0.0001822449,0.0007653818,0.00001354106,0.000016871,0.00000581789,0.0001592455,0.01763223,0.0006482929,0.002312219,0.9778251,0.000197335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002170354,0.00008319232,0.9840535,0.002838822,0.0002948973,0.0002409564,0.00003950392,0.0001425171,0.01013625],"genre_scores_gemma":[0.1605369,0.00001442121,0.7785358,0.002225099,0.002182123,0.00003186843,0.0001819844,0.00006271715,0.05622908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3909126,"threshold_uncertainty_score":0.9998153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482941792515193,"score_gpt":0.299986517162629,"score_spread":0.205157099237477,"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."}}