{"id":"W6999856869","doi":"","title":"Diseño e implementación de una placa entrenadora/programadora para microcontroladores PIC","year":2019,"lang":"es","type":"dissertation","venue":"Digital Repository (Universidad Politécnica de Cartagena)","topic":"Embedded Systems and FPGA Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Patient Safety Institute","keywords":"Context (archaeology); Software; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004621741,0.0006945592,0.0003598615,0.0004019337,0.0004050501,0.001104814,0.00109959,0.0005028028,0.006299255],"category_scores_gemma":[0.0009292269,0.0004388405,0.0003311769,0.0002647952,0.0002942726,0.001162718,0.0007508243,0.0008187329,0.001783188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000631799,"about_ca_system_score_gemma":0.001006162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002943095,"about_ca_topic_score_gemma":0.003422133,"domain_scores_codex":[0.9993176,0.0000483931,0.00003631867,0.0001415889,0.0003485284,0.0001074385],"domain_scores_gemma":[0.9994115,0.0001041436,0.00007406728,0.00009898593,0.0002453021,0.00006604721],"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":[0.0005553808,0.0002914577,0.003658808,0.0009145712,0.00004932219,0.0005404486,0.0007422042,0.006113479,0.70341,0.005620092,0.004407035,0.2736972],"study_design_scores_gemma":[0.00007665957,0.001746565,0.008250579,0.0001453326,0.0001105729,0.0007583409,0.000377209,0.05583779,0.78608,0.0005384329,0.1460003,0.00007816163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2692942,0.001828519,0.6732111,0.0007424098,0.000422552,0.001246429,0.0004274065,0.01366572,0.03916173],"genre_scores_gemma":[0.5278583,0.00120974,0.41851,0.0004369799,0.00005722605,0.0006076529,0.0004472333,0.0006019439,0.05027109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006299255,"threshold_uncertainty_score":0.0210731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006206678214402571,"score_gpt":0.247841969664957,"score_spread":0.2416352914505544,"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."}}