{"id":"W6946651755","doi":"10.34943/addd0aa5-09ec-4db6-a21a-32242e160b6a","title":"Baynes Sound Conductivity Temperature Depth Deployed 2022-07-20","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":"Conductivity; Pressure sensor; Temperature measurement; Sound (geography); Turbidity; Data acquisition; Noise (video); Global Positioning System; 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":[0.0007945313,0.00197177,0.0009062841,0.002417373,0.0009318916,0.001629896,0.002217946,0.001462608,0.02220127],"category_scores_gemma":[0.003210602,0.0004704083,0.0005850167,0.004779823,0.0004363864,0.00108093,0.001332252,0.001392874,0.04362474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222403,"about_ca_system_score_gemma":0.004011602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2580854,"about_ca_topic_score_gemma":0.3968439,"domain_scores_codex":[0.9991375,0.00008505859,0.0000615762,0.0002338851,0.0003183147,0.0001635025],"domain_scores_gemma":[0.9984013,0.0001550724,0.00008789718,0.0003179916,0.0008220942,0.0002155642],"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":[0.00003671983,0.00001796479,0.001178294,0.0001139419,0.00001084571,0.00002498448,0.00002348241,0.0004096344,0.0001084896,0.0003434214,0.9958686,0.001863668],"study_design_scores_gemma":[0.0001466693,0.00001847859,0.009246763,0.0001815046,0.00001487724,0.00005054067,0.0002239699,0.001605536,0.0004479186,0.001025358,0.9869985,0.00003977305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000427729,0.00003314811,0.0001078259,0.00007892667,0.00003743235,0.00001243353,0.9975937,0.0004709674,0.001237805],"genre_scores_gemma":[0.0006277628,0.0000188017,0.0002498699,0.00002155479,0.000004484192,0.00002890201,0.998297,0.00004949549,0.000702039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2580854,"threshold_uncertainty_score":0.5131663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038671986625393,"score_gpt":0.2227227992586888,"score_spread":0.2123360793924348,"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."}}