{"id":"W6909077546","doi":"10.34943/2c5b7e92-7714-434d-8dfe-f1bce3eb29d3","title":"Cape Bonavista Acoustic Doppler Current Profiler 2 MHz Deployed 2017-06-21","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":"Acoustic Doppler current profiler; Current (fluid); Bay; Doppler effect; Headland; Cape; Sound (geography)","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":[0.000552639,0.00132054,0.0008159132,0.00268049,0.0008947064,0.001200582,0.00150834,0.0009610733,0.01890288],"category_scores_gemma":[0.003220088,0.0003436862,0.0004225716,0.005244421,0.0003455016,0.0007934005,0.00110945,0.0008473816,0.03138827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002448364,"about_ca_system_score_gemma":0.003634852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4590168,"about_ca_topic_score_gemma":0.607586,"domain_scores_codex":[0.9993367,0.00005903304,0.00004333712,0.0001411378,0.0002655321,0.0001542373],"domain_scores_gemma":[0.9982135,0.0001568312,0.0001015555,0.0002883378,0.001090538,0.0001492924],"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":[0.00003590589,0.00001107584,0.0018682,0.0001662214,0.00001263289,0.00004039572,0.0000341849,0.0003576118,0.0001334703,0.0003594491,0.9930694,0.003911533],"study_design_scores_gemma":[0.00004778932,0.000008861288,0.0112019,0.0002324416,0.0000107504,0.00004830775,0.0002074761,0.0009913123,0.0003854198,0.0005811183,0.9862549,0.00002972274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005237495,0.00006597728,0.0001368529,0.00008896437,0.00003659464,0.00001287243,0.9966674,0.000373457,0.002093994],"genre_scores_gemma":[0.001588461,0.0000647245,0.0004588289,0.00003476279,0.0000100904,0.00004186814,0.9958363,0.00007575328,0.001889211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5409832,"threshold_uncertainty_score":0.9126901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853364776265328,"score_gpt":0.2528887675592767,"score_spread":0.2343551197966234,"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."}}