{"id":"W7038066817","doi":"","title":"Evaluation of selected CMIP6 models' simulation on Arctic sea ice","year":2022,"lang":"en","type":"other","venue":"Työväentutkimus Vuosikirja","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Archipelago; Sea ice; The arctic; Arctic ice pack; Coupled model intercomparison project; Seasonality","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":[0.004440552,0.001943007,0.0007589058,0.0009540574,0.0006920937,0.001103141,0.00179538,0.001240106,0.001971495],"category_scores_gemma":[0.007211751,0.0004908033,0.001498302,0.001689354,0.0003085204,0.001077516,0.0006042755,0.0009254537,0.0005326604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772941,"about_ca_system_score_gemma":0.001449536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07991948,"about_ca_topic_score_gemma":0.03833882,"domain_scores_codex":[0.9989682,0.0004538456,0.00008669473,0.000155436,0.0001826062,0.0001532088],"domain_scores_gemma":[0.9960654,0.0017373,0.0002814888,0.000324234,0.001299732,0.0002917849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003776708,0.0001515566,0.02854722,0.0001375863,0.000283071,0.0001488808,0.00006262246,0.9598602,0.0006988877,0.0005625577,0.002746093,0.00642358],"study_design_scores_gemma":[0.0001830453,0.0001383713,0.01499262,0.00005757359,0.000108596,0.00005041927,0.0001326736,0.9798654,0.002329566,0.000298639,0.00180295,0.00004024781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678075,0.000682176,0.006105296,0.0008361656,0.0002399255,0.0001007964,0.01085975,0.001831403,0.01153699],"genre_scores_gemma":[0.9809119,0.000312361,0.008191057,0.0001556227,0.00004056546,0.00009485043,0.009096729,0.0002415707,0.0009555019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07991948,"threshold_uncertainty_score":0.1589086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636470874856644,"score_gpt":0.3909329197276467,"score_spread":0.2272858322419822,"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."}}