{"id":"W4244587691","doi":"10.1002/wcc.399","title":"Cover Image, Volume 7, Issue 2","year":2016,"lang":"en","type":"paratext","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cover (algebra); Acre; Image (mathematics); Volume (thermodynamics); Geography; Environmental science; Climatology; Geology; Computer science; Computer vision; Engineering; Agroforestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005409789,0.0008578862,0.00157738,0.0001063295,0.0007056625,0.0001704076,0.0008639083,0.0003603302,0.4072969],"category_scores_gemma":[0.00003976325,0.0005657889,0.0006457579,0.0004085391,0.0002635135,0.0005910497,0.0006724171,0.0004667467,0.5430933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004700827,"about_ca_system_score_gemma":0.00003380083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744611,"about_ca_topic_score_gemma":0.0004975914,"domain_scores_codex":[0.9961991,0.0002141417,0.00113105,0.0009999803,0.0003659036,0.001089867],"domain_scores_gemma":[0.9977349,0.0001501105,0.00075871,0.0009511502,0.0001249235,0.0002801883],"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":[0.00003068314,0.00002492741,0.0008231485,0.0008926642,0.00004579527,0.00002000841,0.0005821612,0.000001432249,0.000001721921,0.000002014095,0.8978098,0.09976567],"study_design_scores_gemma":[0.0002175613,0.0002334729,0.007402217,0.003619717,0.0001132461,0.00002040741,0.000169005,0.0001431831,7.44122e-7,0.00004096024,0.9872599,0.0007796436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0002285841,0.3481811,0.0001086704,0.005832111,0.01521982,0.002572758,0.01065991,0.0001078142,0.6170893],"genre_scores_gemma":[0.00009742867,0.6872201,0.0004971595,0.001926563,0.008314622,0.0002353295,0.004631809,0.00005894166,0.2970181],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.339039,"threshold_uncertainty_score":0.9996794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06258544860588128,"score_gpt":0.317362295752846,"score_spread":0.2547768471469647,"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."}}