{"id":"W6909000099","doi":"10.34943/2e80e1b3-480c-40d4-b66b-6550ec1e2856","title":"Yarrow Point Oxygen Sensor Deployed 2022-11-25","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":"Optode; Oxygen sensor; Measure (data warehouse); Oxygen; Point (geometry); Software deployment","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":[0.0005791464,0.001390448,0.0007688953,0.001415741,0.0007464496,0.0009011406,0.002154761,0.001106833,0.01309727],"category_scores_gemma":[0.001552765,0.0003190798,0.0004415784,0.003118831,0.0003252454,0.0008736065,0.001073848,0.0009322119,0.02064943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160023,"about_ca_system_score_gemma":0.002464354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1966574,"about_ca_topic_score_gemma":0.3245797,"domain_scores_codex":[0.9994223,0.00005058269,0.00003809707,0.0001505635,0.0002134976,0.0001248893],"domain_scores_gemma":[0.9991844,0.00006321422,0.00004659702,0.0001774996,0.0004207871,0.0001074],"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":[0.00008205399,0.00003596799,0.001921832,0.0002357918,0.00001773102,0.00004684816,0.00003221249,0.001206464,0.0004955292,0.0004874415,0.9915128,0.003925233],"study_design_scores_gemma":[0.0001741015,0.00003865545,0.01937599,0.0002023115,0.00002047981,0.00008750358,0.0002790132,0.004441911,0.001580898,0.001234586,0.9725047,0.00005972452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001141034,0.00005641265,0.0002246322,0.00009840351,0.00004357507,0.00002821737,0.9957963,0.0006193275,0.001992157],"genre_scores_gemma":[0.001776117,0.00003243357,0.0004427381,0.00003372847,0.000005865155,0.00004982164,0.9965562,0.00004591584,0.001057199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1966574,"threshold_uncertainty_score":0.3910254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007153710226589067,"score_gpt":0.2041999633501359,"score_spread":0.1970462531235468,"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."}}