{"id":"W2980146228","doi":"10.1109/embc.2019.8857531","title":"Calibration of Stereo Radiography System for Radiostereometric Analysis Application","year":2019,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Calibration; Computer science; Radiography; Computer vision; Rotation (mathematics); Artificial intelligence; Epipolar geometry; Translation (biology); Protocol (science); Object (grammar); Image (mathematics); Mathematics; Medicine; Radiology","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":[0.001510926,0.0007466375,0.0006448827,0.001248867,0.0004007604,0.000600371,0.00110491,0.0007945751,0.007630675],"category_scores_gemma":[0.001781421,0.0004761808,0.000388734,0.0009320838,0.000412779,0.0007315717,0.001135365,0.0006198366,0.002595828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322275,"about_ca_system_score_gemma":0.0006406893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005031847,"about_ca_topic_score_gemma":0.0007806345,"domain_scores_codex":[0.9979235,0.00028033,0.0000894472,0.0003967129,0.001227982,0.00008199429],"domain_scores_gemma":[0.9987841,0.0001840362,0.0001180283,0.0003210531,0.0005477576,0.0000450395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002981261,0.00007570716,0.005224774,0.0005325428,0.00005068943,0.0002126032,0.0003009835,0.002501632,0.7663803,0.003725132,0.003609313,0.2170882],"study_design_scores_gemma":[0.0001249761,0.001062234,0.03127456,0.0001420904,0.0002038675,0.003694137,0.0002834999,0.04101741,0.8395672,0.001691142,0.08073453,0.0002042785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05330736,0.0009926654,0.9312072,0.0001518025,0.0002494279,0.0003293315,0.0004058662,0.003322882,0.0100335],"genre_scores_gemma":[0.3372763,0.001091113,0.6496874,0.0003225045,0.0001581101,0.0004532206,0.001031666,0.0006121901,0.009367478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007630675,"threshold_uncertainty_score":0.02552718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641009438102589,"score_gpt":0.2437979542441856,"score_spread":0.2273878598631597,"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."}}