{"id":"W6908826227","doi":"10.34943/43479b53-6a87-4896-ba85-cb6517021bb1","title":"Cambridge Bay Conductivity Temperature Depth Deployed 2024-08-29","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Conductivity; Temperature measurement; Turbidity; CTD; Pressure sensor; Data quality","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":[0.0007664034,0.001667435,0.0009404137,0.002714097,0.0009734496,0.001736162,0.002551739,0.001286758,0.02652628],"category_scores_gemma":[0.004058455,0.0005040543,0.0005867357,0.00610108,0.0004815219,0.001076391,0.00147133,0.001343033,0.04525886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003709296,"about_ca_system_score_gemma":0.005583138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4531865,"about_ca_topic_score_gemma":0.5961725,"domain_scores_codex":[0.9990234,0.00009166162,0.00007349915,0.0002428181,0.0003724374,0.0001961806],"domain_scores_gemma":[0.9976739,0.0001727115,0.0001257795,0.0004093896,0.001366235,0.0002518429],"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":[0.00003670812,0.00001194091,0.001331289,0.0001217393,0.00001085339,0.00002335378,0.00002547641,0.0003990954,0.00009523232,0.0003787088,0.9958538,0.001711737],"study_design_scores_gemma":[0.0001036428,0.00001160581,0.009536763,0.0001717652,0.00001304362,0.00003416882,0.0002157788,0.001026937,0.000392522,0.0007012144,0.9877542,0.00003828168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002924077,0.00003154557,0.0000766461,0.00007282852,0.00002634803,0.00001068825,0.9980127,0.0003301109,0.001146694],"genre_scores_gemma":[0.0005917358,0.00002424025,0.0002231031,0.00002261794,0.000004440185,0.00003098362,0.9981359,0.00005532194,0.0009116189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5468135,"threshold_uncertainty_score":0.9010974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859634954747706,"score_gpt":0.2230547298101976,"score_spread":0.2144583802627206,"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."}}