{"id":"W6965367222","doi":"10.34943/a4974754-9d65-4b8d-b26d-1df80a6d2850","title":"CCGS John P. Tully Echosounder, Bioacoustic Deployed 2018-09-28","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coast guard; Software deployment; Echo sounding; Backscatter (email); Transducer; Bioacoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007152327,0.00118861,0.0007386819,0.00276213,0.001055992,0.001434237,0.001845841,0.001052411,0.02354984],"category_scores_gemma":[0.004556933,0.0004090637,0.0005134813,0.006600641,0.0004102855,0.0009467189,0.001173292,0.001029372,0.03445321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004010286,"about_ca_system_score_gemma":0.007722738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6329965,"about_ca_topic_score_gemma":0.7585693,"domain_scores_codex":[0.9992644,0.00005936082,0.0000531618,0.0001614404,0.0002948659,0.0001668353],"domain_scores_gemma":[0.9975939,0.0002195637,0.0001275292,0.0003958378,0.001433999,0.000229153],"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":[0.00002879476,0.000006807727,0.001065166,0.000137888,0.000009789814,0.00001636085,0.00002011789,0.000260284,0.00007522762,0.0003270541,0.9962907,0.001761868],"study_design_scores_gemma":[0.00007365787,0.000008820145,0.008373311,0.0001797066,0.00001188188,0.00002715889,0.0001614547,0.0006771908,0.0002824212,0.0006133013,0.9895639,0.0000270796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002184633,0.00002673772,0.00006736493,0.00005099721,0.0000165409,0.000009168678,0.9983028,0.0002374169,0.001070503],"genre_scores_gemma":[0.000634827,0.00003002566,0.000262968,0.00002062066,0.000003518146,0.00002651305,0.9980324,0.00004706998,0.0009421491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6329965,"threshold_uncertainty_score":0.7383297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206837784864639,"score_gpt":0.2178316121743745,"score_spread":0.2057632343257281,"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."}}