{"id":"W2793956763","doi":"10.4095/286332","title":"Application of GPS heights to Bay of Fundy multibeam data","year":2010,"lang":"en","type":"report","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Global Positioning System; Geodesy; Geology; Oceanography; Remote sensing; Telecommunications; Computer science","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":[0.0007049617,0.0001549182,0.0003598641,0.00009154607,0.00003480603,0.00001261981,0.0007577926,0.0001760826,0.0007092369],"category_scores_gemma":[0.00006721449,0.0001175576,0.00005553167,0.0001636047,0.00003757041,0.00008038771,0.00005661746,0.0001821418,0.0001707283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002331071,"about_ca_system_score_gemma":0.0002745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03500295,"about_ca_topic_score_gemma":0.04228044,"domain_scores_codex":[0.9980594,0.00001952314,0.000402479,0.0003983681,0.0009578267,0.0001624183],"domain_scores_gemma":[0.9979418,0.00004560465,0.0003204158,0.001215721,0.0003620955,0.000114398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003639982,0.0002144132,0.5827448,0.0006455627,0.0001913721,0.000002056925,0.000086857,0.000166769,0.001990658,0.00006109893,0.01947723,0.3943828],"study_design_scores_gemma":[0.0001201708,0.0001000258,0.6326881,0.00004557123,0.00006633419,0.000002443509,0.00001341383,0.0008785961,0.0009207266,0.0004183926,0.3645001,0.0002460872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2869581,0.001433023,0.008681321,0.0003748336,0.006574655,0.004706692,0.02024714,0.0001139285,0.6709103],"genre_scores_gemma":[0.9880087,0.00007228566,0.002742622,0.00002579964,0.0002335328,0.000001482708,0.006320822,0.000005490218,0.002589287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7010506,"threshold_uncertainty_score":0.9751955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08324984152930665,"score_gpt":0.2915316340553188,"score_spread":0.2082817925260121,"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."}}