{"id":"W4312932439","doi":"10.1007/978-3-031-12176-0_1","title":"40 Years of X-ray CT in Soil: Historical Context","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hounsfield scale; Context (archaeology); SAFER; Computed tomography; Engineering; Medicine; Computer science; Radiology; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00297751,0.001133337,0.0006349878,0.0051167,0.0009425158,0.004209649,0.001186637,0.002641401,0.01150278],"category_scores_gemma":[0.004658014,0.0006258305,0.0004722301,0.008631349,0.006522493,0.005060085,0.002708055,0.003267741,0.003233299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004424505,"about_ca_system_score_gemma":0.002961439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009160369,"about_ca_topic_score_gemma":0.01218305,"domain_scores_codex":[0.9991415,0.0001998381,0.0001262778,0.000232271,0.0002197341,0.00008039052],"domain_scores_gemma":[0.9969826,0.001783864,0.0003048477,0.0001579196,0.0005770271,0.0001937377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002346571,0.0001330442,0.003717757,0.005785388,0.0000769409,0.001124809,0.002863539,0.001824283,0.001791843,0.2403493,0.06941364,0.6726848],"study_design_scores_gemma":[0.000004382825,0.00004087653,0.002774919,0.002760959,0.00002168441,0.001435179,0.0006559097,0.0001101364,0.0005714593,0.01338047,0.9782179,0.00002602412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004619639,0.9294244,0.002394544,0.008160418,0.002479572,0.0000210658,0.0003099676,0.00004052547,0.05254997],"genre_scores_gemma":[0.03141428,0.9248464,0.002583219,0.004667369,0.003738943,0.00004604843,0.0003672697,0.0001030074,0.03223339],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01150278,"threshold_uncertainty_score":0.03848058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467354594259595,"score_gpt":0.2185832151315714,"score_spread":0.1939096691889755,"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."}}