{"id":"W6908912931","doi":"10.34943/970db501-acd0-4b5a-91c8-97baa61f7637","title":"Patricia Bay Conductivity Temperature Depth Deployed 2021-09-10","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Conductivity; Temperature measurement; Turbidity; Pressure sensor; Software deployment; Global Positioning System","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":[0.0006659143,0.001545012,0.000732914,0.001881387,0.000654935,0.001240905,0.002154185,0.001103231,0.01574337],"category_scores_gemma":[0.002695475,0.000351311,0.0005397492,0.003248598,0.0003043837,0.0008977944,0.001115628,0.001244663,0.03609316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650512,"about_ca_system_score_gemma":0.002129355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1377211,"about_ca_topic_score_gemma":0.204902,"domain_scores_codex":[0.9993586,0.00007581734,0.00004942811,0.00018998,0.0002122495,0.0001138286],"domain_scores_gemma":[0.998889,0.0001079471,0.00007923579,0.000266035,0.0005132229,0.0001446491],"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":[0.00006317096,0.00002492742,0.002123375,0.000176821,0.00001738357,0.00004088956,0.0000260248,0.00059117,0.0001759684,0.0003899398,0.9932032,0.00316713],"study_design_scores_gemma":[0.0001827365,0.00003538863,0.01864808,0.0002127396,0.00002198734,0.00009963707,0.0002327427,0.002899866,0.0007868081,0.001123353,0.9757128,0.00004380853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007033225,0.00004676268,0.0001226906,0.00009098015,0.00003139905,0.00001691918,0.9970781,0.0005776151,0.0013323],"genre_scores_gemma":[0.0009103945,0.00002363885,0.0002618031,0.00002568009,0.00000499878,0.0000323503,0.998109,0.00003867503,0.0005935167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622789,"threshold_uncertainty_score":0.2738389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120992045156427,"score_gpt":0.2537080932781824,"score_spread":0.2424981728266181,"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."}}