{"id":"W4239283251","doi":"10.5194/tc-2016-258-rc2","title":"Nice paper and a useful model diagnostic","year":2016,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nice; Computer science; Programming language","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":[0.001847674,0.0008345387,0.0006078517,0.001482929,0.001050083,0.00263224,0.001835411,0.002358481,0.01632288],"category_scores_gemma":[0.01175656,0.0003823834,0.001001386,0.0009465219,0.000884987,0.004707809,0.002216204,0.002019458,0.002725351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721149,"about_ca_system_score_gemma":0.0009655167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759114,"about_ca_topic_score_gemma":0.001237907,"domain_scores_codex":[0.9986969,0.0004493782,0.0001082558,0.0002238629,0.0004179097,0.0001038217],"domain_scores_gemma":[0.9977245,0.0008460166,0.0002204735,0.0005568608,0.0005550093,0.00009718165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009654308,0.00007442002,0.002707863,0.000154286,0.00003598885,0.0009580192,0.0002981302,0.08857741,0.001659881,0.8160668,0.03734534,0.05202522],"study_design_scores_gemma":[0.00004514398,0.0001028453,0.0009094542,0.0001011249,0.00002315654,0.000924605,0.0002016398,0.4793199,0.002778126,0.3844873,0.1310221,0.00008449366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.03044755,0.0009251734,0.7585236,0.01163157,0.002395678,0.0003433085,0.003066844,0.003749683,0.1889165],"genre_scores_gemma":[0.7189847,0.0008589406,0.2328153,0.002602542,0.0009250748,0.0004048808,0.003570236,0.001274702,0.03856372],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01632288,"threshold_uncertainty_score":0.05460548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991006580796613,"score_gpt":0.2512294034337347,"score_spread":0.2113193376257685,"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."}}