{"id":"W6965424087","doi":"10.34943/ec0518c3-d6f8-4fbe-89c9-cad18df8e91d","title":"Barkley Canyon Axis Junction Box Deployed 2016-06-14","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Benthic zone; Ethernet; Software deployment; Power (physics)","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":[0.001011334,0.001670545,0.001538913,0.00009921102,0.0007501842,0.0002821381,0.001570401,0.002014095,0.000401264],"category_scores_gemma":[0.0001048503,0.00176623,0.0009630294,0.00113764,0.0002718355,0.0003179938,0.0004290882,0.003483073,0.0002652137],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00643456,"about_ca_system_score_gemma":0.008279664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8533415,"about_ca_topic_score_gemma":0.9477232,"domain_scores_codex":[0.9919428,0.0004082803,0.001149291,0.001918911,0.002242065,0.002338623],"domain_scores_gemma":[0.9942949,0.0003564901,0.001154525,0.002793583,0.0004627328,0.0009377174],"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":[0.00005260996,0.00006494631,0.0001421842,0.0002485572,0.0008850138,0.0000502114,0.0000253606,0.00983061,0.000002180293,0.000001118875,0.9886253,0.00007186784],"study_design_scores_gemma":[0.001089368,0.00006353961,0.0002235174,0.0003481637,0.0007383536,0.00003220053,0.0001538233,0.004001944,0.000002370548,0.000003883485,0.9915695,0.001773365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009435299,0.002560145,0.0001035265,0.00019052,0.007224733,0.001248849,0.9882247,0.0002890122,0.0000641447],"genre_scores_gemma":[0.0004361039,0.001876044,0.00008740491,0.003688236,0.00307602,0.00003163464,0.9839037,0.0006084246,0.006292417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09438171,"threshold_uncertainty_score":0.9996042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008459168981426811,"score_gpt":0.2075288408984291,"score_spread":0.1990696719170023,"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."}}