{"id":"W6946473652","doi":"10.34943/a3ef0e90-754c-4e02-b2d1-baa575058e2c","title":"Patricia Bay Oxygen Sensor Deployed 2011-04-19","year":2011,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Optode; Oxygen; Measure (data warehouse); Oxygen sensor; 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":[0.0005655713,0.001297226,0.0006981848,0.001807199,0.0005748092,0.0008961752,0.001893021,0.0008693936,0.007562529],"category_scores_gemma":[0.001840628,0.0003616331,0.0004795783,0.003000453,0.0002649275,0.0007595823,0.0009395504,0.001155062,0.0158452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656181,"about_ca_system_score_gemma":0.001669536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1378635,"about_ca_topic_score_gemma":0.21794,"domain_scores_codex":[0.9994268,0.00004896749,0.00004719544,0.0001726492,0.0002151689,0.00008921816],"domain_scores_gemma":[0.9990835,0.000062455,0.00008236917,0.0002219774,0.0004418781,0.0001077386],"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":[0.00009860639,0.0000491408,0.004568338,0.0002691247,0.00003525223,0.00006516391,0.00004832951,0.001116097,0.0004382613,0.0004144233,0.98752,0.005377238],"study_design_scores_gemma":[0.0001621569,0.00004093182,0.0577046,0.0001590939,0.00003705196,0.000129654,0.0002535275,0.00409514,0.001897914,0.0007213006,0.9347398,0.00005884005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001935739,0.00004553361,0.0001520676,0.00008337713,0.0000267481,0.00002753049,0.9953977,0.0005745186,0.001756728],"genre_scores_gemma":[0.001653983,0.00002508283,0.00031631,0.00001973964,0.000004440634,0.00004284763,0.9970978,0.00002943954,0.0008103487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1378635,"threshold_uncertainty_score":0.2741222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392853081492711,"score_gpt":0.1992892591513558,"score_spread":0.1853607283364287,"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."}}