{"id":"W2515492689","doi":"10.1177/0309364616664150","title":"A smartphone photogrammetry method for digitizing prosthetic socket interiors","year":2016,"lang":"en","type":"article","venue":"Prosthetics and Orthotics International","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Photogrammetry; Computer science; Computer graphics (images); Engineering drawing; Biomedical engineering; Orthodontics; Computer vision; Medicine; Engineering","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":[0.0003263078,0.0002281988,0.0002127652,0.0001616277,0.00008838437,0.0001156225,0.0001950544,0.0001138395,0.00002910638],"category_scores_gemma":[0.0001374087,0.0001685024,0.0001223222,0.0000922326,0.0001278714,0.00009618887,0.00007911555,0.0001068339,0.000008999112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007009713,"about_ca_system_score_gemma":0.00002236178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001901111,"about_ca_topic_score_gemma":0.000006861175,"domain_scores_codex":[0.9987442,0.0000185095,0.0004023188,0.0002888204,0.000225347,0.0003207535],"domain_scores_gemma":[0.9991522,0.0002364451,0.00006878247,0.0001973077,0.0002159366,0.0001293182],"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":[0.0001464976,0.0002930075,0.01263962,0.0003742405,0.0003664673,0.00001170232,0.001687702,0.001295472,0.04566856,0.0413765,0.001433663,0.8947065],"study_design_scores_gemma":[0.007496829,0.00113893,0.006108969,0.0008950997,0.000206857,0.000412535,0.0005104243,0.4541336,0.06911665,0.1239051,0.3336193,0.002455777],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08765642,0.0003033511,0.9052192,0.001914673,0.001755925,0.0008081656,0.0002595739,0.0002974184,0.001785261],"genre_scores_gemma":[0.9041585,0.0003311707,0.09420273,0.0001447899,0.0001204926,0.0001176939,0.00002390222,0.00007908234,0.0008215901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8922508,"threshold_uncertainty_score":0.6871328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006351814406868508,"score_gpt":0.241803396305859,"score_spread":0.2354515818989905,"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."}}