{"id":"W6890355045","doi":"10.34943/18a9c316-24c5-446c-bcfa-4756a20f94d5","title":"Baynes Sound pH Sensor Deployed 2022-04-27","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":"Measure (data warehouse); Sound (geography); Software deployment; Seawater; Water quality; Deep water; Digital data","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":[0.0006477275,0.001800526,0.000904242,0.001470746,0.0007223726,0.001040602,0.002280263,0.001277219,0.01618023],"category_scores_gemma":[0.002142594,0.0003717399,0.0004711885,0.003114539,0.0003389787,0.0009069709,0.001050953,0.001073167,0.02978178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469494,"about_ca_system_score_gemma":0.002651817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.165952,"about_ca_topic_score_gemma":0.2858594,"domain_scores_codex":[0.9993132,0.0000622466,0.00004870291,0.0001905507,0.0002705161,0.0001146847],"domain_scores_gemma":[0.9989422,0.00008886011,0.00005205808,0.000216703,0.0005563479,0.0001438196],"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":[0.00006935725,0.00003399843,0.001639245,0.0001575459,0.00001376334,0.00003049817,0.00002168402,0.000596166,0.0002364956,0.0002677869,0.9936353,0.003298262],"study_design_scores_gemma":[0.0002536041,0.00004455899,0.01673732,0.0002135992,0.00002381959,0.00009891353,0.0002376513,0.003553419,0.00120494,0.00129651,0.9762757,0.00005988674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009262944,0.00005162262,0.000182523,0.0001093813,0.00004925493,0.00002610985,0.9959,0.0008313269,0.001923603],"genre_scores_gemma":[0.001268881,0.00002449467,0.0003790369,0.00003472696,0.000005412962,0.00003980513,0.9974101,0.00004244506,0.000795098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834048,"threshold_uncertainty_score":0.329972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008948140407736664,"score_gpt":0.2138451449658388,"score_spread":0.2048970045581021,"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."}}