{"id":"W6909279958","doi":"10.34943/5adc2867-93d4-4b19-ae47-5b96b0e666db","title":"Prince Rupert Atlin Terminal Station Oxygen Sensor Deployed 2024-05-01","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":"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":[0.0005332227,0.001142791,0.0006054395,0.001637787,0.0006332881,0.0009431235,0.001869412,0.001121995,0.01514244],"category_scores_gemma":[0.002268448,0.0003210647,0.0004083007,0.003132597,0.0002880105,0.0007562533,0.0008837197,0.0009081115,0.02191805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996595,"about_ca_system_score_gemma":0.002747827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2713406,"about_ca_topic_score_gemma":0.3884652,"domain_scores_codex":[0.9995453,0.00004759583,0.00003233312,0.0001084785,0.0001681831,0.0000981958],"domain_scores_gemma":[0.9989136,0.0001005968,0.00006826552,0.0001858791,0.0006210815,0.0001105416],"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":[0.00006369404,0.00001972701,0.001703111,0.0001659567,0.00001654056,0.00004253268,0.00002465839,0.0007788853,0.0002215584,0.0003677273,0.9939467,0.002648931],"study_design_scores_gemma":[0.0001426357,0.0000257641,0.01792341,0.000187004,0.00002225176,0.00007452764,0.0002119284,0.002813688,0.0009231103,0.0009758393,0.9766597,0.0000400902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007657224,0.00004098114,0.0001124468,0.0001136957,0.00002633418,0.00001445495,0.9972292,0.0002792179,0.001418026],"genre_scores_gemma":[0.001403047,0.00003200696,0.000303786,0.00003585536,0.000005308038,0.00003260806,0.9969023,0.00003218283,0.001252945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2713406,"threshold_uncertainty_score":0.5395225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008474425666654807,"score_gpt":0.2310381332605722,"score_spread":0.2225637075939174,"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."}}