{"id":"W6927600759","doi":"10.34943/be3d0126-f041-49f4-aee0-779548001145","title":"Barkley Upper Slope Vertical Profiler Instrument Package Deployed 2021-03-26","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seafloor spreading; Profiling (computer programming); Quality assurance; Wind profiler; Mobile device; Virtual instrument","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":[0.0008370537,0.001566106,0.0009077953,0.002533229,0.001131522,0.001853219,0.002476659,0.001080992,0.03530268],"category_scores_gemma":[0.004081393,0.0005633592,0.0005599092,0.006025481,0.0004000108,0.001184792,0.001504181,0.001448964,0.06697021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002866859,"about_ca_system_score_gemma":0.006266825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4323684,"about_ca_topic_score_gemma":0.5810059,"domain_scores_codex":[0.9990112,0.0000991246,0.00007229654,0.0002408026,0.000362262,0.0002142836],"domain_scores_gemma":[0.9976279,0.0002061935,0.0001224375,0.0004389868,0.001374767,0.0002295838],"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":[0.00002568197,0.0000102615,0.0008889285,0.0001113421,0.000009343384,0.00001610633,0.00002549784,0.0002565051,0.00008110163,0.0003594588,0.9963114,0.00190444],"study_design_scores_gemma":[0.00007145435,0.000008227023,0.006019792,0.0001541953,0.000009829635,0.00002547594,0.000174341,0.0007383436,0.0003143197,0.0006788451,0.9917769,0.00002824292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001807235,0.00002392673,0.00009500443,0.00004578347,0.0000159123,0.00001186188,0.9981995,0.0003759776,0.001051388],"genre_scores_gemma":[0.0004102965,0.00002167701,0.0003151526,0.00001755373,0.000003476697,0.00003534057,0.9983132,0.00006932088,0.0008140397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5676316,"threshold_uncertainty_score":0.8597035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009003240676428206,"score_gpt":0.2120371711070262,"score_spread":0.203033930430598,"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."}}