{"id":"W6890265407","doi":"10.34943/79100952-0135-4f54-9c96-9b1cb7419d9b","title":"Discovery Passage Fluorometer Deployed 2022-01-28","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":"Channel (broadcasting); Fluorometer; Measure (data warehouse); Software deployment; Key (lock); Digital data; 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":[0.0009607656,0.001756205,0.001229907,0.002498818,0.001492435,0.001988137,0.003169656,0.001665914,0.02210417],"category_scores_gemma":[0.004428727,0.0005445384,0.0007473319,0.005485626,0.0005754031,0.001412782,0.001489752,0.001630558,0.04133695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003670025,"about_ca_system_score_gemma":0.006034924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4272972,"about_ca_topic_score_gemma":0.5401419,"domain_scores_codex":[0.9986291,0.0001258193,0.00008378511,0.0003841397,0.0005088698,0.0002682507],"domain_scores_gemma":[0.9976082,0.0002308817,0.0001106597,0.0004941385,0.001311698,0.0002443724],"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":[0.00005552713,0.00001981942,0.00131667,0.0001278643,0.00001322998,0.00002490409,0.00002243884,0.000581979,0.000113469,0.0004281264,0.9952568,0.002039058],"study_design_scores_gemma":[0.0001319878,0.00001791069,0.009980049,0.0001665665,0.00001796274,0.0000602668,0.0001926806,0.00188776,0.0005932188,0.00110674,0.9857903,0.0000545589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004416953,0.00004787708,0.0001206685,0.0000951789,0.00003706704,0.00001610207,0.9972811,0.0005298009,0.001430491],"genre_scores_gemma":[0.0008638318,0.00002749462,0.0003043385,0.00003520159,0.000006689182,0.00003856803,0.9976645,0.00006875305,0.0009905689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5727028,"threshold_uncertainty_score":0.8496201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967869562905996,"score_gpt":0.2022008853822964,"score_spread":0.1952330158193904,"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."}}