{"id":"W2031923091","doi":"10.1029/2006eo350006","title":"Digital Acquisition, Analysis, and Visualization in the Earth sciences","year":2006,"lang":"en","type":"article","venue":"Eos","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyberinfrastructure; Visualization; Library science; China; Data science; Computer science; Geography; Archaeology","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":[0.02121257,0.000433309,0.0003058506,0.002139015,0.002521456,0.01059202,0.0009218429,0.002485295,0.006271849],"category_scores_gemma":[0.01324032,0.0005453008,0.0002483184,0.002699924,0.008311258,0.009651411,0.005505519,0.002677934,0.00097529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281016,"about_ca_system_score_gemma":0.002088506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194276,"about_ca_topic_score_gemma":0.005237257,"domain_scores_codex":[0.9941375,0.004354669,0.0001939915,0.0002457245,0.0008608019,0.0002072063],"domain_scores_gemma":[0.9893041,0.008649579,0.0002413442,0.0007904387,0.0004464422,0.0005680636],"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":[0.00008231815,0.0001106816,0.003572598,0.0006050442,0.00001889663,0.0003877723,0.01049899,0.001976412,0.002949766,0.5566246,0.07233346,0.3508394],"study_design_scores_gemma":[0.00003266416,0.00005776616,0.002639896,0.0007023411,0.00001405469,0.0005641895,0.006849978,0.006650078,0.00189635,0.3355516,0.6449896,0.00005159704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06243082,0.103896,0.3861825,0.2281911,0.004021715,0.0004117851,0.0003753183,0.001522101,0.2129686],"genre_scores_gemma":[0.4416125,0.0631085,0.436627,0.008252445,0.003910515,0.0005784301,0.0002789441,0.0005426746,0.04508893],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02121257,"threshold_uncertainty_score":0.1121842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109012651288497,"score_gpt":0.2222277702552582,"score_spread":0.2113265051264085,"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."}}