{"id":"W3022280282","doi":"","title":"OASIS-CANADA: Results from the OOTI (Out On The Ice) Experiments","year":2009,"lang":"en","type":"article","venue":"AGUFM","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Climatology; Physical geography; Meteorology; Geography","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":[0.001894478,0.0009926585,0.00101101,0.0009034477,0.003252304,0.002296483,0.001932478,0.001133667,0.01115976],"category_scores_gemma":[0.003973321,0.0003362869,0.0007243479,0.002424451,0.001230124,0.001178908,0.001278798,0.001382827,0.002429175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01171404,"about_ca_system_score_gemma":0.02196128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9568003,"about_ca_topic_score_gemma":0.9734774,"domain_scores_codex":[0.9981342,0.0001579847,0.00003639479,0.0002061846,0.0008940874,0.0005712121],"domain_scores_gemma":[0.9961159,0.0004422301,0.0001798586,0.0003946257,0.002026124,0.0008411226],"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":[0.03626213,0.009788011,0.08590239,0.001539373,0.001087941,0.001029016,0.002466792,0.07686243,0.03587453,0.02278293,0.5647644,0.1616401],"study_design_scores_gemma":[0.01297752,0.004214859,0.4312184,0.0003399518,0.001025289,0.0003354959,0.01114211,0.1079472,0.0499262,0.01016345,0.3700459,0.0006636088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.737909,0.00108392,0.003658606,0.003694999,0.0004457347,0.001051043,0.06028579,0.002886277,0.1889846],"genre_scores_gemma":[0.8538879,0.0008982199,0.00945447,0.0009449283,0.00007626512,0.0002774385,0.06788629,0.001028888,0.06554569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04319966,"threshold_uncertainty_score":0.0869081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749690762626665,"score_gpt":0.2448452520680096,"score_spread":0.2073483444417429,"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."}}