{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004157,0.000683936,0.000776744,0.001232522,0.000624904,0.001071797,0.001789239,0.0004265019,0.009671819],"category_scores_gemma":[0.001520286,0.0004172396,0.0002798938,0.001705866,0.0003701688,0.001221178,0.002152811,0.0009461963,0.006012273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757803,"about_ca_system_score_gemma":0.003534054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212477,"about_ca_topic_score_gemma":0.003777817,"domain_scores_codex":[0.9991813,0.00007440936,0.00004454047,0.0002099466,0.0004358005,0.00005386329],"domain_scores_gemma":[0.9991527,0.0001027477,0.0000486341,0.0001383605,0.0004772969,0.00008033615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001331261,0.0001226049,0.01066433,0.0008544212,0.00009312912,0.0003546111,0.0004568206,0.009899636,0.03951139,0.01238922,0.1309841,0.7933385],"study_design_scores_gemma":[0.0002296583,0.000585841,0.01498849,0.0002122407,0.000225671,0.00135694,0.0001831036,0.08678993,0.04163402,0.00613558,0.8475184,0.0001400416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03301882,0.003166511,0.8014786,0.0006223936,0.000720819,0.000770181,0.01133786,0.09115141,0.05773348],"genre_scores_gemma":[0.1733181,0.002585795,0.7507551,0.0005693944,0.0003230386,0.001673728,0.0235871,0.001943375,0.04524432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009671819,"threshold_uncertainty_score":0.03235543,"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."}}