{"id":"W6909010074","doi":"10.34943/c4b82c6f-3e27-4aab-9c7e-874c9a7a3e6d","title":"Prince Rupert Atlin Terminal Station Oxygen Sensor Deployed 2022-07-18","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":"Terminal (telecommunication); Optode; Oxygen; Measure (data warehouse); Oxygen sensor","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":[0.0005383452,0.001284356,0.0006420323,0.001589655,0.0006569111,0.0009683943,0.001885274,0.001127179,0.01544802],"category_scores_gemma":[0.002089391,0.0003289767,0.0004136275,0.003361586,0.0002748697,0.0007953502,0.0009023448,0.000921711,0.02483721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825197,"about_ca_system_score_gemma":0.002583566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2529536,"about_ca_topic_score_gemma":0.3579557,"domain_scores_codex":[0.9994903,0.00004842981,0.00003592818,0.0001305798,0.0001886084,0.0001060606],"domain_scores_gemma":[0.9988919,0.00009018401,0.00006454412,0.0001987879,0.0006295213,0.0001250081],"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":[0.00005603513,0.00002017236,0.001370381,0.0001431954,0.00001309844,0.00003658578,0.00001988695,0.0006364887,0.0001991356,0.0003193722,0.9947477,0.002437975],"study_design_scores_gemma":[0.000146983,0.00002721194,0.01659345,0.0001828761,0.00001905691,0.00007653132,0.000202619,0.002817873,0.0008640481,0.0009103956,0.9781173,0.00004165621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006669539,0.00003929463,0.0001172284,0.0001057182,0.00002689372,0.0000163687,0.9972657,0.0003021123,0.001459728],"genre_scores_gemma":[0.001179564,0.00002853107,0.0002716324,0.00003463003,0.000005208535,0.00003251096,0.9973692,0.0000308729,0.001047812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2529536,"threshold_uncertainty_score":0.5029624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143114902532208,"score_gpt":0.2336381095314498,"score_spread":0.2222069605061277,"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."}}