{"id":"W6946218962","doi":"10.34943/15a8770d-2525-4a7a-bc7c-af56abfe5ef0","title":"CCGS John P. Tully Echosounder, Bioacoustic Deployed 2022-05-17","year":2022,"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":[0.0007377076,0.001232215,0.0007096085,0.002671019,0.001094421,0.001597599,0.001912528,0.001094245,0.02736703],"category_scores_gemma":[0.004298926,0.0004432157,0.0004781104,0.006600675,0.00041219,0.0009413796,0.001137094,0.00107164,0.03445641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004802507,"about_ca_system_score_gemma":0.009214693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7052113,"about_ca_topic_score_gemma":0.8104045,"domain_scores_codex":[0.9992713,0.0000588464,0.00004640824,0.0001630439,0.0002931754,0.0001672083],"domain_scores_gemma":[0.9976683,0.0002256993,0.0001225395,0.000358984,0.001383819,0.0002406593],"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":[0.00002766614,0.000007183348,0.0008959695,0.0001335343,0.000008407832,0.00001628482,0.00001990473,0.0002860676,0.00007170846,0.0003573924,0.9965435,0.001632423],"study_design_scores_gemma":[0.00007663891,0.000008495999,0.007372208,0.0001736512,0.00001028604,0.00002340904,0.0001640743,0.0007259508,0.0002656682,0.0005952175,0.9905573,0.0000271012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000178032,0.00002106194,0.00006154981,0.0000488961,0.00001357657,0.000009257321,0.9984427,0.000191203,0.001033697],"genre_scores_gemma":[0.0005988595,0.00002670223,0.0002772548,0.00002188257,0.000002910847,0.00002954098,0.9980289,0.00004709415,0.0009669085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2947887,"threshold_uncertainty_score":0.5930495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679501636311763,"score_gpt":0.208581685479609,"score_spread":0.2009021838432972,"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."}}