{"id":"W6929854200","doi":"10.5066/p19h76dm","title":"Acoustic detection and biological data for Lake Trout, Salvelinus namaycush, in Lake Ontario","year":2025,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salvelinus; Telemetry; Trout; Context (archaeology); Fish <Actinopterygii>; Salmonidae","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001694086,0.0008558672,0.0008709889,0.0005438029,0.0002761355,0.000115887,0.0008031582,0.0008183914,0.0009845273],"category_scores_gemma":[0.0009132273,0.0008217951,0.0001265702,0.0002516179,0.0003359328,0.0003978854,0.001032393,0.00121601,0.0004088684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424811,"about_ca_system_score_gemma":0.0001991827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416651,"about_ca_topic_score_gemma":0.4423996,"domain_scores_codex":[0.9943413,0.000278868,0.001055348,0.003017207,0.0005665368,0.0007407538],"domain_scores_gemma":[0.996011,0.0001499547,0.0005244637,0.003160619,0.00002816466,0.0001257493],"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":[0.0006343701,0.0007298642,0.0003914931,0.0002471772,0.000174769,0.00001462714,0.00005117484,0.002071513,0.001091319,7.13804e-7,0.9911255,0.003467538],"study_design_scores_gemma":[0.001210348,0.0003115047,0.008815074,0.0001056166,0.0004555109,0.00005403311,0.00003828344,0.000145078,0.0000769595,0.00004081389,0.9879321,0.0008146386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007484251,0.0002825596,0.0004472518,0.0002175222,0.001759767,0.003616764,0.9860665,0.0001138285,0.00001151989],"genre_scores_gemma":[0.001268777,0.0007965972,0.0008454687,0.00009372015,0.0009542546,0.0009047879,0.9931337,0.00006492345,0.001937812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4409829,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406193679195577,"score_gpt":0.255245726745522,"score_spread":0.2211837899535663,"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."}}