{"id":"W2340077405","doi":"","title":"INDAPS, Integrated Navigation, Data Acquisition and Processing System","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrography; Data acquisition; Hydrographic survey; Computer science; Fortran; Data processing; Field (mathematics); Line (geometry); Data processing system; Real-time computing; Computer hardware; Database; Programming language; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008066061,0.0001078725,0.0001263271,0.00006006739,0.00012138,0.0001650093,0.001802014,0.00002413337,0.000001795871],"category_scores_gemma":[0.00003239724,0.00007327054,0.00002820415,0.0006084677,0.00006944044,0.0006897949,0.0004801944,0.0001167762,0.0000126025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004514806,"about_ca_system_score_gemma":0.00007249895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001650932,"about_ca_topic_score_gemma":0.000001078944,"domain_scores_codex":[0.998821,0.00005679215,0.0003021114,0.0003265623,0.0003963987,0.00009720393],"domain_scores_gemma":[0.9987305,0.00004780791,0.0001966495,0.0006070787,0.0003503358,0.00006758839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004747418,0.0000628901,0.0001558423,0.0004238797,0.00005442732,0.000008079132,0.0001262883,0.0001326034,0.00005014627,0.5725911,0.009757135,0.4166329],"study_design_scores_gemma":[0.0002879454,0.00004650405,0.0002364961,0.005050969,0.00004955101,0.0006302613,0.00006363659,0.5112599,0.00006309772,0.06757932,0.4144065,0.000325804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008758829,0.03085935,0.9492215,0.01644504,0.0001422359,0.0005400795,0.00002170139,0.0004027171,0.001491519],"genre_scores_gemma":[0.8794895,0.007534287,0.1083264,0.003495116,0.0001808856,0.0002541564,0.0006328925,0.0000186097,0.00006817726],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8786136,"threshold_uncertainty_score":0.3348621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632316195018383,"score_gpt":0.3412023919128431,"score_spread":0.2779707724110048,"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."}}