{"id":"W6908984934","doi":"10.34943/ef73f795-2e20-4568-b733-f74b181fe3f9","title":"Barkley Canyon Upper Slope Vertical Profiler Instrument Package Deployed 2021-03-26","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Seafloor spreading; Data quality; Seabed; Software deployment; Quality assurance","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":[0.0007802987,0.001798508,0.001063913,0.002277594,0.001253566,0.001854502,0.002656485,0.00127982,0.023729],"category_scores_gemma":[0.003214061,0.0005614967,0.000577232,0.004742854,0.0004510831,0.001056448,0.001520988,0.001666258,0.061983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505929,"about_ca_system_score_gemma":0.004981332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2819867,"about_ca_topic_score_gemma":0.4573788,"domain_scores_codex":[0.999111,0.00009212231,0.00006834012,0.0002476604,0.0002893919,0.000191418],"domain_scores_gemma":[0.9981774,0.0001615795,0.00009360925,0.0004164919,0.0009361687,0.0002148048],"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":[0.00003503188,0.00001410107,0.0008259593,0.000143315,0.000009869744,0.00002119616,0.00002575905,0.0002139422,0.00009840237,0.0003021626,0.9967158,0.001594502],"study_design_scores_gemma":[0.0001324312,0.00001467548,0.006884469,0.0001963299,0.00001216373,0.000041769,0.0002105729,0.000745075,0.000431284,0.0006593644,0.9906436,0.00002834859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002944052,0.00004061074,0.00007752059,0.00005083837,0.00002047328,0.00001600814,0.9978459,0.0004977993,0.001156454],"genre_scores_gemma":[0.0004022531,0.00002293424,0.0002652558,0.00001752887,0.000002917199,0.00003293026,0.9985762,0.00005204045,0.0006279923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7180133,"threshold_uncertainty_score":0.5606908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008277007777431952,"score_gpt":0.1964582594464882,"score_spread":0.1881812516690563,"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."}}