{"id":"W6946592808","doi":"10.34943/282babf3-7943-422b-897a-bec90afc9d6c","title":"Cambridge Bay pH Sensor Deployed 2017-09-14","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Seawater; Water quality; Ocean chemistry; Software deployment; Ocean acidification","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001194644,0.001940505,0.001928178,0.00007253467,0.00203119,0.0006259885,0.003450667,0.001942595,0.0001453369],"category_scores_gemma":[0.0002436002,0.002051112,0.001192592,0.0004227308,0.000696885,0.0003070929,0.0007816959,0.00392491,0.0001788826],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003496176,"about_ca_system_score_gemma":0.0056562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7529181,"about_ca_topic_score_gemma":0.9414055,"domain_scores_codex":[0.9912407,0.0003741513,0.001115871,0.002069023,0.002287281,0.002912938],"domain_scores_gemma":[0.9904621,0.0004038064,0.001924911,0.005337961,0.000485108,0.001386108],"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":[0.00004270609,0.00006632964,0.0001940908,0.0001986183,0.001111632,0.0006163427,0.00001543584,0.001820572,0.000001453107,0.00000212088,0.9958459,0.00008479997],"study_design_scores_gemma":[0.001150245,0.00003415919,0.0006235141,0.0002581827,0.0008423307,0.0001129229,0.00008175649,0.003405551,0.000001930292,0.000001397475,0.9913568,0.002131168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000161593,0.00182958,0.0000293502,0.0002722037,0.005251286,0.001012177,0.9909636,0.0003202634,0.0001599934],"genre_scores_gemma":[0.0005278356,0.001191828,0.0001711178,0.002352158,0.005174259,0.00002803634,0.9849365,0.0006659688,0.004952336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1884875,"threshold_uncertainty_score":0.9999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350809842176125,"score_gpt":0.2419435689641039,"score_spread":0.2284354705423426,"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."}}