{"id":"W6928090484","doi":"10.34943/4f91d166-0ad0-412a-95fb-5b1e19bfd0c6","title":"Patricia Bay Conductivity Temperature Depth Deployed 2013-05-06","year":2013,"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; Conductivity; Temperature measurement; Turbidity; Pressure 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0009239916,0.002150822,0.002007848,0.0001017004,0.001070946,0.0005266847,0.00214591,0.002965986,0.0004084565],"category_scores_gemma":[0.0001714549,0.002080923,0.001039906,0.001741102,0.0004809721,0.0005176705,0.0006000329,0.005986473,0.0001153947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003644183,"about_ca_system_score_gemma":0.005811855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8444361,"about_ca_topic_score_gemma":0.9684824,"domain_scores_codex":[0.990974,0.0006697061,0.001165848,0.002187053,0.002250561,0.00275283],"domain_scores_gemma":[0.9930832,0.0007150592,0.001264581,0.002954194,0.0006545671,0.001328336],"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":[0.00001836241,0.0001321491,0.0003861142,0.0001900533,0.000975077,0.0001428307,0.00002463183,0.004090257,0.000008464568,0.00000219136,0.9939738,0.00005605293],"study_design_scores_gemma":[0.0009881881,0.0000465033,0.0006282055,0.0001587081,0.0006959739,0.00006430486,0.0001857233,0.001788412,0.000005057018,0.000008495263,0.9932278,0.002202616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002039673,0.004010907,0.000009474342,0.0004218468,0.00349701,0.00163885,0.9879804,0.0003853944,0.00001644237],"genre_scores_gemma":[0.003347012,0.001729728,0.0001898144,0.004954433,0.003949878,0.00006388372,0.9838976,0.0006430412,0.001224586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1240463,"threshold_uncertainty_score":0.9998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009738246617345504,"score_gpt":0.2103202863081965,"score_spread":0.200582039690851,"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."}}