{"id":"W987652963","doi":"10.26512/2006.12.tcc.948","title":"Captura de imagens e estimação de movimento em ambiente linux","year":2006,"lang":"pt","type":"dissertation","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Nurses in Oncology","funders":"","keywords":"Computer science; Operating system; Physics","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":[0.0004289865,0.0006057916,0.0006000252,0.001015733,0.000337371,0.0008807548,0.0006302671,0.0005475599,0.001902357],"category_scores_gemma":[0.003091329,0.0003106775,0.000417888,0.0007992999,0.0003109089,0.0009054219,0.0006584602,0.0004250448,0.0005681132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003761463,"about_ca_system_score_gemma":0.0003286726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007021078,"about_ca_topic_score_gemma":0.006363806,"domain_scores_codex":[0.9995709,0.00003880189,0.00001421725,0.0001586776,0.0001695663,0.00004787584],"domain_scores_gemma":[0.9992481,0.0002756182,0.00007625933,0.000107218,0.0002420606,0.00005072439],"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":[0.001470929,0.0002068056,0.04354295,0.0004354705,0.0001553641,0.0005555381,0.001644742,0.05707397,0.486941,0.001898956,0.003192407,0.4028819],"study_design_scores_gemma":[0.00003947728,0.0005187412,0.1555862,0.00006050537,0.0001466695,0.0009058067,0.0009801608,0.5414499,0.29171,0.002448011,0.00601895,0.0001354749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7388357,0.0004951337,0.2514009,0.0001460632,0.00008064983,0.00004180225,0.0007685316,0.00492893,0.003302346],"genre_scores_gemma":[0.9425311,0.0001818053,0.05473064,0.00002355887,0.00002016875,0.00002671059,0.0004022529,0.0002861173,0.001797632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007021078,"threshold_uncertainty_score":0.01396042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251548293059401,"score_gpt":0.3080006443855884,"score_spread":0.2954851614549944,"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."}}