{"id":"W38428516","doi":"10.1016/j.cstres.2024.02.004","title":"Оценка точности расчета ледовитости Охотского и Японского морей по данным дистанционного зондирования Земли и авиационных наблюдений","year":2013,"lang":"en","type":"article","venue":"Vestnik Tomskogo gosudarstvennogo universiteta Filologiya","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Computer science; Geography; Thematic map; Satellite; Projection (relational algebra); Meteorology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005954551,0.001076344,0.001137497,0.0001842481,0.001132788,0.0003201964,0.002255362,0.001419129,0.02463443],"category_scores_gemma":[0.0003031423,0.0005612691,0.0005950233,0.001719774,0.001028819,0.001270343,0.0008810426,0.001352881,0.006138936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643116,"about_ca_system_score_gemma":0.0001110771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609862,"about_ca_topic_score_gemma":0.0004626973,"domain_scores_codex":[0.9938174,0.0006646351,0.001001592,0.001721967,0.000700847,0.002093518],"domain_scores_gemma":[0.9965651,0.0009192048,0.0006067072,0.0006560098,0.0003884857,0.0008644658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006064824,0.002143224,0.05082788,0.0001379605,0.000927299,0.0007539648,0.00129274,0.0001456834,0.4017248,0.01474188,0.3473492,0.1793489],"study_design_scores_gemma":[0.002910646,0.005453922,0.1917804,0.0002280292,0.0003791704,0.0004502932,0.008411624,0.001027042,0.009116154,0.008255012,0.7679289,0.004058748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428701,0.000563851,0.00003111262,0.0102734,0.001145051,0.001222512,0.0002668204,0.0007804699,0.04284673],"genre_scores_gemma":[0.979933,0.0002311402,0.0007944189,0.002723579,0.0009869396,0.00005045937,0.0006138543,0.00001741827,0.01464916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4205797,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009735552299294719,"score_gpt":0.1461353900480416,"score_spread":0.1363998377487469,"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."}}