{"id":"W2901553006","doi":"10.4095/299442","title":"Mer Bleue, Ontario, Arctic surrogate study site project 2015 - GPS survey report","year":2016,"lang":"en","type":"report","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Global Positioning System; Arctic; The arctic; Environmental science; Geography; Geology; Computer science; Oceanography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008431941,0.0003298825,0.0002853669,0.001397471,0.001495434,0.001006958,0.0005830395,0.0002600867,0.01654485],"category_scores_gemma":[0.001606622,0.0003558906,0.0001636055,0.003892171,0.0002480555,0.0003533077,0.0006010434,0.0003239225,0.006345244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01152628,"about_ca_system_score_gemma":0.03109432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731448,"about_ca_topic_score_gemma":0.9919025,"domain_scores_codex":[0.9991418,0.00004889987,0.00003882868,0.00008988653,0.0005900709,0.00009055083],"domain_scores_gemma":[0.9978483,0.00006123176,0.0001233937,0.00009307692,0.001635929,0.0002380836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002159694,0.00005979156,0.08210264,0.0004390491,0.00002995996,0.0002231906,0.001051349,0.0007351873,0.001100437,0.001069332,0.8631066,0.04986653],"study_design_scores_gemma":[0.00003045897,0.00003401276,0.3289282,0.0001526195,0.000008527692,0.00005770876,0.001265459,0.0004827285,0.000438856,0.0001112644,0.6684715,0.00001878431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03746544,0.001245611,0.001771945,0.00148862,0.0002802056,0.0007216755,0.850066,0.0004468533,0.1065136],"genre_scores_gemma":[0.1037023,0.002884721,0.00756075,0.0003749981,0.00007151395,0.0009129861,0.560485,0.0003567766,0.323651],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02685523,"threshold_uncertainty_score":0.08362937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08685801816272778,"score_gpt":0.3343915936015184,"score_spread":0.2475335754387906,"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."}}