{"id":"W6965184212","doi":"10.34943/4a5c536f-99ab-469d-a003-1707731c70f8","title":"Barkley Upper Slope Vertical Profiler Instrument Package Deployed 2010-09-13","year":2010,"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":[0.0008183144,0.001750034,0.00099482,0.003447589,0.001031169,0.001754132,0.002329524,0.001008048,0.0171002],"category_scores_gemma":[0.00380129,0.0006312919,0.00056967,0.007559802,0.0003977382,0.001011207,0.001279437,0.001513384,0.03486397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003739257,"about_ca_system_score_gemma":0.007475421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.554137,"about_ca_topic_score_gemma":0.703381,"domain_scores_codex":[0.9988616,0.0000882914,0.00009163585,0.0002447611,0.0004855786,0.0002281742],"domain_scores_gemma":[0.9973227,0.0001839409,0.000170687,0.0004630911,0.001604547,0.0002550271],"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":[0.00004020769,0.00001793606,0.00180649,0.0001460282,0.00001759179,0.00002658608,0.0000388769,0.0003953229,0.000144647,0.0003453007,0.9943124,0.002708518],"study_design_scores_gemma":[0.00008968501,0.00001194946,0.01452997,0.0001611996,0.00001782235,0.00003990961,0.0002305571,0.001081513,0.0005880492,0.0004987097,0.9827117,0.00003895128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004020954,0.00003048068,0.00008617971,0.0000425892,0.00001482635,0.0000139226,0.9980982,0.0003485108,0.0009633229],"genre_scores_gemma":[0.0005717868,0.00002383801,0.0002795062,0.00001118107,0.000002960652,0.00003194721,0.9982674,0.00004650048,0.0007648857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.554137,"threshold_uncertainty_score":0.8969775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008863145631141186,"score_gpt":0.2091135535665472,"score_spread":0.200250407935406,"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."}}