{"id":"W3097049361","doi":"","title":"이어도 해양과학기지 관측 수온과 위성 해수면온도 합성장 자료와의 비교","year":2019,"lang":"ko","type":"article","venue":"한국지구과학회지","topic":"Marine and Coastal Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Environmental science; Sea surface temperature; Interpolation (computer graphics); Climatology; Geology; Meteorology; Remote sensing; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001655264,0.0003935792,0.0003049489,0.001404283,0.001493864,0.006062313,0.000565619,0.0009755224,0.01282287],"category_scores_gemma":[0.003187752,0.0002909501,0.0003667416,0.001448842,0.004531808,0.004593737,0.0008516163,0.001091826,0.003234857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228314,"about_ca_system_score_gemma":0.003935626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008483053,"about_ca_topic_score_gemma":0.00746533,"domain_scores_codex":[0.9990017,0.0002342487,0.00006911347,0.0002529508,0.0003294164,0.0001126716],"domain_scores_gemma":[0.9978841,0.0006485764,0.0002428659,0.0001122137,0.000909167,0.0002030014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001158361,0.0001123967,0.01983284,0.0008038845,0.0001161356,0.000380207,0.00705578,0.005185867,0.003883893,0.6977034,0.02176023,0.2430496],"study_design_scores_gemma":[0.00004278413,0.000140803,0.03826081,0.0005814938,0.0001541542,0.0007057931,0.01355042,0.007521864,0.003958758,0.6161192,0.3188354,0.0001284278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1166687,0.01471659,0.0544014,0.0204281,0.0009123891,0.0001594277,0.0007722874,0.000291757,0.7916493],"genre_scores_gemma":[0.8866255,0.008804054,0.02493079,0.001352849,0.0004014441,0.0001216628,0.0002948259,0.00008787822,0.0773811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282287,"threshold_uncertainty_score":0.04289675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048983381443186,"score_gpt":0.2382388137219993,"score_spread":0.2291898303405561,"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."}}