{"id":"W6890185318","doi":"10.34943/bff233f0-598c-4c50-878b-dba437f59160","title":"Douglas Channel Oxygen Sensor Deployed 2023-09-14","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optode; Channel (broadcasting); Measure (data warehouse); Oxygen; Oxygen sensor; Inlet","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":[0.000551283,0.001320612,0.0007358253,0.001425637,0.0009278861,0.0009630724,0.002127067,0.001084288,0.01164041],"category_scores_gemma":[0.001814035,0.0003429883,0.0004999845,0.003302675,0.0003773083,0.0007984283,0.0009235954,0.001050748,0.02039222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402431,"about_ca_system_score_gemma":0.004065378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3278746,"about_ca_topic_score_gemma":0.5027382,"domain_scores_codex":[0.9993913,0.00004798928,0.00003663667,0.000144504,0.000233548,0.0001459495],"domain_scores_gemma":[0.9989484,0.00007422937,0.00004540767,0.0002041379,0.0006015237,0.0001264517],"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":[0.00006992869,0.00002957814,0.001646373,0.0001440309,0.00001300996,0.00002925034,0.00002215358,0.0009189898,0.0002719875,0.0004078531,0.9932278,0.00321909],"study_design_scores_gemma":[0.0001642387,0.0000294099,0.01632071,0.0001821888,0.00002064711,0.00008799352,0.0002683294,0.00398992,0.00158477,0.001374517,0.9759169,0.00006042096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001103336,0.00005788249,0.0001985521,0.0001108985,0.00004623093,0.00002491148,0.9958495,0.0006862558,0.001922438],"genre_scores_gemma":[0.001696807,0.00003331345,0.000414445,0.00004147484,0.000004988459,0.00003554667,0.9967173,0.00004593246,0.001010252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6721255,"threshold_uncertainty_score":0.6519322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284314950857631,"score_gpt":0.219976845510795,"score_spread":0.2071336960022187,"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."}}