{"id":"W4392760057","doi":"10.5194/egusphere-egu24-12962","title":"The Marble climate informatics platform: data discovery and data access","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Informatics; Computer science; Data science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006966427,0.001732338,0.001479813,0.005271658,0.001978874,0.008635001,0.005063942,0.002004019,0.02482894],"category_scores_gemma":[0.0212323,0.001443258,0.001308969,0.005882636,0.001437646,0.01109689,0.008954222,0.00437359,0.03354347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203856,"about_ca_system_score_gemma":0.007436273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02901489,"about_ca_topic_score_gemma":0.02253688,"domain_scores_codex":[0.994899,0.0007526843,0.0003168084,0.001184211,0.002387639,0.0004597039],"domain_scores_gemma":[0.9906888,0.001856896,0.0005949372,0.003794181,0.001482863,0.001582247],"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":[0.001338743,0.0002815825,0.003670805,0.0006756121,0.0001964411,0.0006953805,0.0009374932,0.006112964,0.0103389,0.03749986,0.7590562,0.1791961],"study_design_scores_gemma":[0.0002276449,0.00008473287,0.004701301,0.0002230337,0.00003684847,0.0003736887,0.0002789724,0.03859917,0.008006044,0.04938027,0.8978077,0.0002806557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.009041536,0.002172219,0.3514615,0.0049618,0.0007700984,0.002282901,0.1348661,0.4032627,0.09118108],"genre_scores_gemma":[0.08305867,0.002492259,0.513737,0.002449181,0.0009213281,0.00293326,0.3199196,0.03200471,0.04248412],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02901489,"threshold_uncertainty_score":0.0830611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4760525763937875,"score_gpt":0.4996254196343564,"score_spread":0.02357284324056891,"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."}}