{"id":"W4234820540","doi":"10.2316/j.2012.210-1044","title":"AN AUTOMATED METHOD TO ESTIMATE FEMORAL SHAPE AND MINERAL MASS","year":2012,"lang":"en","type":"article","venue":"International Journal of Computational Bioscience","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral; Environmental science; Geology; Computer science; Materials science; Metallurgy","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":[0.0005769902,0.0009143005,0.0008437351,0.002925622,0.0006171236,0.001024469,0.001339888,0.001162609,0.003396425],"category_scores_gemma":[0.001841175,0.0007201637,0.0008640733,0.001790958,0.0003588945,0.0006300797,0.0009273438,0.0005238958,0.00318642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945707,"about_ca_system_score_gemma":0.001510932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005806428,"about_ca_topic_score_gemma":0.0102559,"domain_scores_codex":[0.999263,0.00006350065,0.00002982597,0.0001896083,0.0004139716,0.00004022475],"domain_scores_gemma":[0.9990408,0.0001421516,0.00009398517,0.0001590878,0.0005336417,0.00003033186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002030395,0.0001082679,0.007040834,0.0002044404,0.0001216393,0.0001824587,0.0001137939,0.01806798,0.08901396,0.002034534,0.009028978,0.8738801],"study_design_scores_gemma":[0.0001072082,0.0003054083,0.03766173,0.00008770009,0.0002019161,0.003375428,0.0001431619,0.7960855,0.1194042,0.005914907,0.03647305,0.0002398071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01228741,0.000220713,0.981673,0.00004997086,0.00004809351,0.0001298327,0.0005366326,0.003903387,0.00115083],"genre_scores_gemma":[0.08198645,0.000245046,0.9105301,0.00009609869,0.00004468906,0.000226372,0.001356721,0.0004913642,0.005023298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005806428,"threshold_uncertainty_score":0.01154524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015225024937395,"score_gpt":0.3734508980069411,"score_spread":0.3582258730695461,"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."}}