{"id":"W2137506578","doi":"10.21236/ada442698","title":"Evaluation of Sensus Data Logger for Use in Operational Dive Data Collection","year":2003,"lang":"en","type":"report","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data logger; Data collection; Geography; Computer science; Operating system; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.004067082,0.000143129,0.0002714423,0.0001489446,0.00003858762,0.00006261026,0.0006159939,0.00019413,0.00007859651],"category_scores_gemma":[0.0001377917,0.0001372794,0.00002434605,0.0001624395,0.00001312914,0.0003506227,0.0002443258,0.000129337,0.000003751564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003522161,"about_ca_system_score_gemma":0.0006751144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228821,"about_ca_topic_score_gemma":0.003858796,"domain_scores_codex":[0.9979668,0.0001641868,0.000601238,0.0003105894,0.0008453587,0.0001118245],"domain_scores_gemma":[0.9966643,0.0001290245,0.000111856,0.002061174,0.001011612,0.00002207583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004387942,0.0003979428,0.004511723,0.001455495,0.001851776,0.000001842754,0.0004333947,0.06500386,0.002521954,0.0001456785,0.8536541,0.06997834],"study_design_scores_gemma":[0.0005106754,0.00001068675,0.0004757712,0.00008476155,0.0001568001,0.00001207423,0.00005977142,0.7393145,0.0002869175,0.00004101335,0.2588683,0.0001787116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02055687,0.01327064,0.7620793,0.0004110358,0.005800341,0.01643027,0.01838679,0.0006284786,0.1624363],"genre_scores_gemma":[0.8316621,0.003626036,0.05498951,0.0000433175,0.0004827471,0.0005495108,0.09746798,0.0002068958,0.0109719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8111053,"threshold_uncertainty_score":0.5598093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4968500694522862,"score_gpt":0.395331281436456,"score_spread":0.1015187880158302,"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."}}