{"id":"W6913132107","doi":"10.5443/1843","title":"OASIS-CANADA-OOTI CFL: Atmospheric composition and structure during the CFL campaign near the Amundsen icebreaker in the Amundsen Gulf","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Instrumentation (computer programming); Arctic; Sampling (signal processing); Global Positioning System; Sea ice; Data logger","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002049569,0.001307064,0.0009617817,0.00007706301,0.00349544,0.001954289,0.008549585,0.0007506616,0.0008558955],"category_scores_gemma":[0.0002155265,0.0007244001,0.0001201471,0.001716987,0.001236976,0.0006096803,0.001218329,0.002906943,0.0002943996],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111793,"about_ca_system_score_gemma":0.005669388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719241,"about_ca_topic_score_gemma":0.9996189,"domain_scores_codex":[0.9912879,0.002288298,0.000965142,0.001625864,0.001263115,0.002569673],"domain_scores_gemma":[0.9880551,0.001037022,0.0007510441,0.009163758,0.0001268332,0.0008663109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000553087,0.00001081634,0.001353735,0.00008025026,0.000332358,0.0003378616,0.0002907787,0.0003746277,0.000005320338,0.00002294645,0.9969006,0.0002354311],"study_design_scores_gemma":[0.0005810897,0.00001896234,0.02608258,0.0004099823,0.0004705909,0.0005188189,0.0003778523,0.0002605721,3.744939e-7,0.00005992991,0.9702445,0.0009747322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004383007,0.005601437,0.000001266567,0.003375302,0.001146994,0.002121135,0.983239,0.0000454769,0.00008638594],"genre_scores_gemma":[0.04162208,0.0003328907,0.00007081839,0.005483327,0.003600661,0.00007295313,0.9484602,0.0002888443,0.0000681778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03723907,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009848228605003862,"score_gpt":0.2098855649183934,"score_spread":0.2000373363133895,"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."}}