{"id":"W4251345933","doi":"10.4095/314595","title":"Mer Bleue, Ontario, Arctic surrogate study site project, 2018 update: global navigation satellite system survey report","year":2019,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Satellite; Satellite system; The arctic; Remote sensing; Arctic; Geography; Environmental science; Meteorology; Geology; Oceanography; Engineering; GNSS applications; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022007,0.0009832223,0.001327299,0.0003109909,0.0000822814,0.0002102431,0.000505493,0.0009054288,0.00004639283],"category_scores_gemma":[0.0001556045,0.0009024694,0.0002417563,0.0007664508,0.00004936593,0.0002164006,0.000211113,0.001091816,0.0004575261],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004781201,"about_ca_system_score_gemma":0.0008721094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.166793,"about_ca_topic_score_gemma":0.1057441,"domain_scores_codex":[0.9954481,0.00008862772,0.001378808,0.001007954,0.001295611,0.0007809382],"domain_scores_gemma":[0.9970195,0.00008360638,0.0003351297,0.001850541,0.0006086905,0.0001024937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004228691,0.0002621971,0.8909295,0.006587546,0.003100895,0.002469211,0.0003211509,0.01150408,0.0000214729,0.00007116254,0.08075786,0.003932687],"study_design_scores_gemma":[0.001303371,0.0005151234,0.5150746,0.002829001,0.001179356,0.004285207,0.0009229428,0.002744424,0.000172843,0.00001693864,0.4665021,0.004454155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7921108,0.004913797,0.001973031,0.00001523784,0.04189519,0.006245958,0.0007626756,0.01784952,0.1342338],"genre_scores_gemma":[0.9808344,0.000499854,0.0005940184,0.000001898248,0.0003909819,0.000162671,0.003027076,0.0002198556,0.01426927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3857442,"threshold_uncertainty_score":0.9993426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031130799435564,"score_gpt":0.2681571166114619,"score_spread":0.2378458086171063,"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."}}