{"id":"W6890209346","doi":"10.34943/079458e6-d73b-418f-b0a5-1fcce5f93754","title":"Livingston Island Conductivity Temperature Depth Deployed 2024-02-23","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conductivity; Turbidity; Temperature measurement; Software deployment; Pacific ocean","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":[0.0006258207,0.001736991,0.0009350971,0.001896192,0.0009435087,0.001302337,0.002684757,0.001350502,0.01361296],"category_scores_gemma":[0.002622622,0.0003815803,0.0006358945,0.003440265,0.0004464037,0.00103573,0.001294628,0.00133779,0.033922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087027,"about_ca_system_score_gemma":0.00292697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2542702,"about_ca_topic_score_gemma":0.3768843,"domain_scores_codex":[0.9992556,0.00008156447,0.00005269795,0.0002071293,0.0002682422,0.0001347455],"domain_scores_gemma":[0.9985672,0.0001195646,0.00006763696,0.0003235712,0.0007380832,0.0001840093],"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":[0.00006047645,0.00002697788,0.001533044,0.0001648553,0.00001816938,0.00004636793,0.00002683961,0.0006963771,0.0002057626,0.0003097391,0.9940122,0.002899073],"study_design_scores_gemma":[0.0002008635,0.00003248888,0.01490298,0.0001874394,0.00002259423,0.00007930888,0.0003060023,0.003261742,0.0008999442,0.001091205,0.9789531,0.00006234655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001046478,0.0000641114,0.0001551848,0.0001235517,0.00005691033,0.0000240909,0.995562,0.0008650172,0.002102626],"genre_scores_gemma":[0.001057829,0.00002783142,0.0003301568,0.00003104249,0.000007014815,0.0000379251,0.997551,0.00006062107,0.0008966355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7457298,"threshold_uncertainty_score":0.5055803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005677204416756035,"score_gpt":0.2005287948676651,"score_spread":0.1948515904509091,"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."}}