{"id":"W7018862931","doi":"","title":"Effect of Subjects Pose for 3D Database Management","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006214436,0.001874087,0.001510104,0.001058695,0.001235257,0.003527885,0.001049994,0.001183153,0.03433417],"category_scores_gemma":[0.04536183,0.0009692439,0.001437035,0.001380796,0.0008701912,0.003674415,0.001974487,0.001186329,0.00644904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907374,"about_ca_system_score_gemma":0.001122719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620367,"about_ca_topic_score_gemma":0.004389276,"domain_scores_codex":[0.9938933,0.002677281,0.0004123912,0.0009638909,0.001423504,0.0006295001],"domain_scores_gemma":[0.9598946,0.02757539,0.001091981,0.005153049,0.005061049,0.00122391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03380017,0.003260425,0.05198035,0.001932977,0.0007186611,0.0010206,0.001995913,0.1266546,0.1570632,0.004200914,0.03650597,0.5808662],"study_design_scores_gemma":[0.001054193,0.01400684,0.1340587,0.0004586604,0.002380855,0.002457506,0.004790613,0.4952307,0.3036964,0.007543613,0.03389559,0.0004263015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821791,0.00320592,0.1540577,0.001702018,0.002331602,0.0005299109,0.004451257,0.02087014,0.03067242],"genre_scores_gemma":[0.9379175,0.000825451,0.03859651,0.0002618226,0.0002440394,0.0001242834,0.004122565,0.003623823,0.01428402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03433417,"threshold_uncertainty_score":0.1148592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006160559427340454,"score_gpt":0.2318627869506,"score_spread":0.2257022275232596,"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."}}