{"id":"W7128915903","doi":"10.5281/zenodo.18643356","title":"Neumatica en Recubrimiento en Polvo","year":2024,"lang":"es","type":"article","venue":"Open MIND","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Qualitative analysis; Calibration; Lafora disease","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":[0.0005743406,0.0003309437,0.0004587677,0.0005974529,0.0007122532,0.001773517,0.0006184508,0.0007070269,0.002607526],"category_scores_gemma":[0.0007942383,0.0002822778,0.0003917718,0.0004399476,0.0008357379,0.001321656,0.0008908716,0.0007004738,0.0007293403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006220393,"about_ca_system_score_gemma":0.0006371284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020734,"about_ca_topic_score_gemma":0.002057418,"domain_scores_codex":[0.9994863,0.00005994192,0.00002199354,0.0001029453,0.0002709991,0.00005775019],"domain_scores_gemma":[0.9997022,0.00008599185,0.0000476653,0.00004100992,0.00009988567,0.00002326345],"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":[0.0004235667,0.00009927339,0.003331851,0.001374212,0.00004015654,0.0006702463,0.001077761,0.009839015,0.7762636,0.02374243,0.001438371,0.1816995],"study_design_scores_gemma":[0.00003765536,0.0006310806,0.008294437,0.0003429101,0.0001106419,0.00115088,0.0008894936,0.02749652,0.8356662,0.01051695,0.1147935,0.00006973261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6740788,0.0226769,0.2342733,0.00091011,0.000641163,0.0002348099,0.0002153902,0.00105571,0.06591372],"genre_scores_gemma":[0.9403629,0.005347285,0.03009528,0.0002103419,0.00006618941,0.00008110462,0.0001055537,0.0001447677,0.02358659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002607526,"threshold_uncertainty_score":0.008723021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528741619581945,"score_gpt":0.337066367569762,"score_spread":0.2917789513739426,"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."}}