{"id":"W2900796797","doi":"10.4095/304278","title":"Mer Bleue, Ontario, Arctic surrogate study site project, 2016: global navigation satellite system survey report","year":2017,"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; Arctic; Remote sensing; The arctic; Satellite system; Environmental science; Geography; Meteorology; Oceanography; Geology; 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":[0.002423933,0.000914986,0.001246843,0.0002568771,0.0001893666,0.0003376602,0.0006573593,0.0008442012,0.00002003239],"category_scores_gemma":[0.0003459387,0.0008279599,0.000245239,0.0003074711,0.00007124792,0.0002356219,0.0002174539,0.001036154,0.0001471454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00374658,"about_ca_system_score_gemma":0.00121796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3065535,"about_ca_topic_score_gemma":0.1661341,"domain_scores_codex":[0.9959887,0.00007240127,0.001184947,0.0009007447,0.001130086,0.0007231825],"domain_scores_gemma":[0.9963815,0.00007874279,0.0004463728,0.002307914,0.0006728132,0.0001126651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000373527,0.0002714024,0.8911635,0.005943873,0.003431174,0.005866572,0.0004602326,0.004511372,0.00001995057,0.00003957768,0.07614355,0.01211141],"study_design_scores_gemma":[0.0008514373,0.0003113891,0.682422,0.003356605,0.000852335,0.003378513,0.000446779,0.001089272,0.0001082039,0.00001828886,0.3041414,0.003023819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5651219,0.006271752,0.001579194,0.000014505,0.03806407,0.005496209,0.0006374596,0.01869247,0.3641225],"genre_scores_gemma":[0.9676513,0.0005418159,0.0004413531,6.433576e-7,0.0004864112,0.0002005061,0.001387511,0.0001773146,0.02911314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4025294,"threshold_uncertainty_score":0.9994171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161791109957558,"score_gpt":0.2906730430778196,"score_spread":0.249055131978244,"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."}}