{"id":"W7037912808","doi":"","title":"Evaluación de prestaciones de las redes de cápsulas matriciales sobre distintos escenarios de clasificación de imagen","year":2019,"lang":"es","type":"dissertation","venue":"Digital Repository (Universidad Politécnica de Cartagena)","topic":"Sesquiterpenes and Asteraceae Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Christian ministry; Applications of artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003589115,0.000986209,0.0008407958,0.0002869912,0.0007571949,0.0007805392,0.001020786,0.00118426,0.00001718443],"category_scores_gemma":[0.0004693758,0.001147761,0.0009224865,0.0002756065,0.0003477384,0.0001149134,0.000416815,0.0005828734,0.00004008874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130942,"about_ca_system_score_gemma":0.003265327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006208228,"about_ca_topic_score_gemma":0.0001082634,"domain_scores_codex":[0.9952848,0.0004490598,0.0006489397,0.001241965,0.0004637264,0.001911504],"domain_scores_gemma":[0.9968891,0.0002186369,0.0006756618,0.001049707,0.000443264,0.0007237029],"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":[0.001978399,0.000563914,0.1502883,0.001600664,0.001799742,0.0010582,0.008393197,0.0006504577,0.8219399,0.001768234,0.005206645,0.00475239],"study_design_scores_gemma":[0.004646832,0.003318679,0.2581557,0.002436527,0.004228369,0.002895632,0.07840496,0.003376463,0.5309643,0.001017843,0.104578,0.005976723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697604,0.003892997,0.000701725,0.0002516586,0.000445886,0.0006938544,0.0005747357,0.00009822844,0.02358048],"genre_scores_gemma":[0.9690489,0.001058649,0.0005607715,0.0002133358,0.001027925,0.0000545905,0.001127573,0.0001893764,0.02671886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909756,"threshold_uncertainty_score":0.9990972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007702224408034114,"score_gpt":0.2693236801900061,"score_spread":0.261621455781972,"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."}}