{"id":"W2069771649","doi":"10.1088/0967-3334/35/12/2415","title":"On estimating the directionality distribution in pedicle trabecular bone from micro-CT images","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oncolytics Biotech (Canada); University of Toronto","funders":"Chongqing University","keywords":"Directionality; Trabecular bone; Distribution (mathematics); Computer science; Biomedical engineering; Biological system; Mathematics; Biology; Engineering; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0006766458,0.0001128012,0.0001801387,0.00001212191,0.00007456241,0.00002044525,0.00009774711,0.00001802294,0.00005862979],"category_scores_gemma":[0.000531771,0.00006784455,0.00007758184,0.0001109161,0.00005173233,0.00002449542,0.00001577497,0.0002112429,0.00003089223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003795,"about_ca_system_score_gemma":0.000003641294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282333,"about_ca_topic_score_gemma":0.000004209619,"domain_scores_codex":[0.9989271,0.0001513216,0.0001978245,0.0001866327,0.0003565489,0.0001806046],"domain_scores_gemma":[0.9996104,0.000118647,0.0000256013,0.0001603789,0.00002913528,0.00005581542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001964973,0.000539985,0.004632726,0.0000749966,0.0001619664,0.00001163275,0.00009015788,0.1490473,0.7345532,0.0004041767,0.008915456,0.1015488],"study_design_scores_gemma":[0.0008046303,0.00006038662,0.430885,0.0002347286,0.00007898978,0.000002496896,0.00003441198,0.5012462,0.04559673,0.01975158,0.000891347,0.0004136217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641018,0.0002400084,0.03467993,0.0004331721,0.0001428518,0.00006715075,0.00001311895,0.0001245289,0.0001974704],"genre_scores_gemma":[0.9992136,0.000004964682,0.0004252478,0.0001215395,0.0001643365,0.00002582386,0.00003665344,0.000005586001,0.000002264454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6889564,"threshold_uncertainty_score":0.2766621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177338663566819,"score_gpt":0.2371347389581053,"score_spread":0.2053613523224371,"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."}}