{"id":"W6969018985","doi":"10.5281/zenodo.7342481","title":"IMBIE software v3.0","year":2022,"lang":"en","type":"other","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"","keywords":"Software; Python (programming language); Simula; Ice sheet; Preprint; Greenland ice sheet","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.005013105,0.001126899,0.001859912,0.007821627,0.001332249,0.0001057329,0.005320271,0.00115716,0.7288244],"category_scores_gemma":[0.001462565,0.001468421,0.000970105,0.005207826,0.002901977,0.0006675354,0.005524704,0.00458588,0.001789753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418997,"about_ca_system_score_gemma":0.001816552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004023685,"about_ca_topic_score_gemma":0.0005077093,"domain_scores_codex":[0.9860715,0.0007666835,0.0005833691,0.002465291,0.007290342,0.0028228],"domain_scores_gemma":[0.9924518,0.001123632,0.0008657615,0.003217448,0.001076064,0.001265287],"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":[0.000416049,0.000580135,0.001014616,0.0000887956,0.0007471442,0.001013012,0.003175461,0.00001647593,0.0002166201,0.0001471943,0.9905464,0.00203809],"study_design_scores_gemma":[0.002105139,0.0005153888,0.00006454072,0.0004345093,0.0001830065,0.00002060521,0.0211591,0.00005280376,0.00003153253,0.001555097,0.9726296,0.001248643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000822297,0.004159054,0.0004558919,0.000978824,0.00334579,0.003050897,0.002668445,0.004251488,0.9802673],"genre_scores_gemma":[0.001286074,0.00195338,0.002432228,0.000041205,0.002762132,0.00003783747,0.001065748,0.002857278,0.9875641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7270346,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011402818387564,"score_gpt":0.3198548849122749,"score_spread":0.2187146030735185,"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."}}