{"id":"W2146064075","doi":"10.1002/ase.1367","title":"Comparison of 3D reconstructive technologies used for morphometric research and the translation of knowledge using a decision matrix","year":2013,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Usability; Computer science; Software; Software engineering; Interface (matter); Best practice; Human–computer interaction; Data science","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":[0.0294647,0.0008797069,0.0007533478,0.009766143,0.0008152397,0.002278401,0.0008042614,0.0005401478,0.002873166],"category_scores_gemma":[0.1106449,0.0004992354,0.001365276,0.005899947,0.001875193,0.002461776,0.002368687,0.0007651173,0.0003849308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622465,"about_ca_system_score_gemma":0.002376241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009226046,"about_ca_topic_score_gemma":0.001404827,"domain_scores_codex":[0.9617065,0.0217438,0.004949001,0.00144413,0.009819119,0.0003374075],"domain_scores_gemma":[0.7889327,0.1834615,0.008193202,0.004845487,0.01385975,0.000707341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002390674,0.0007029956,0.0455527,0.005504638,0.0005091536,0.0004189791,0.01797805,0.00381056,0.02072045,0.01062783,0.001712582,0.8900714],"study_design_scores_gemma":[0.001458576,0.02786391,0.5109978,0.00946167,0.003446722,0.006747267,0.07838195,0.08068837,0.1179208,0.03964219,0.1221579,0.001232904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144507,0.003416962,0.1637552,0.0003653542,0.0001397463,0.00381367,0.001027978,0.0005825103,0.01244806],"genre_scores_gemma":[0.6167674,0.002268475,0.3742431,0.0001212452,0.00003422637,0.004740193,0.0006197156,0.0002131976,0.0009923618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0294647,"threshold_uncertainty_score":0.155826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08159970556989264,"score_gpt":0.4262194221147702,"score_spread":0.3446197165448775,"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."}}