{"id":"W6946606467","doi":"10.34943/2fd095e7-6ba8-4dda-bad1-224dbf580d60","title":"Juan de Fuca Strait Acoustic Receiver Deployed 2022-09-21","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Underwater; Pacific ocean; Digital data","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":[0.0007414087,0.001436814,0.0006860914,0.001708763,0.0007064894,0.001181851,0.001725212,0.00117431,0.0152829],"category_scores_gemma":[0.003046656,0.0003137301,0.0005398657,0.003207922,0.0003462066,0.000892128,0.001094448,0.001039456,0.03784994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403821,"about_ca_system_score_gemma":0.002251531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1073752,"about_ca_topic_score_gemma":0.1783039,"domain_scores_codex":[0.9993021,0.00009710908,0.00005489401,0.0001829697,0.0002291108,0.0001337104],"domain_scores_gemma":[0.9988819,0.0001390233,0.0000712874,0.000281003,0.000518547,0.0001081522],"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":[0.0000759287,0.00002121728,0.001693971,0.0002244094,0.00001797836,0.00004304524,0.00003351676,0.0005976295,0.0002287157,0.0005541868,0.9932027,0.003306778],"study_design_scores_gemma":[0.0001283039,0.00002097245,0.009012541,0.0001654728,0.00001550474,0.00005860787,0.0002055215,0.001265416,0.0005609615,0.001183606,0.9873527,0.00003040974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005175997,0.00004229085,0.0001365634,0.00008634461,0.0000347741,0.00001211932,0.997286,0.0003580725,0.001526282],"genre_scores_gemma":[0.0009313023,0.00002747942,0.0003002943,0.0000264946,0.000005525545,0.00003186851,0.997848,0.00004586461,0.0007831756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1073752,"threshold_uncertainty_score":0.2135005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746988680207132,"score_gpt":0.2796224635163919,"score_spread":0.2521525767143206,"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."}}