{"id":"W7128906144","doi":"10.5281/zenodo.18643322","title":"Tipos de Pintura en Polvo y sus aditivos","year":2023,"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":"Conceptual architecture; Automatic identification and data capture; Context (archaeology)","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":[0.0008770904,0.0005985316,0.0006271887,0.00149047,0.0009133631,0.002593466,0.0007720109,0.0008452177,0.006428508],"category_scores_gemma":[0.001891382,0.0005157613,0.0006439565,0.001136728,0.0009071269,0.001576695,0.001108253,0.0008954288,0.001185847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073304,"about_ca_system_score_gemma":0.0006855335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698743,"about_ca_topic_score_gemma":0.003211394,"domain_scores_codex":[0.9988236,0.0001066241,0.00006052014,0.0002578158,0.0006154749,0.0001360098],"domain_scores_gemma":[0.999314,0.0001890254,0.0001020802,0.0000893432,0.0002523907,0.00005315399],"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":[0.0007599791,0.0001101701,0.01615305,0.002662094,0.00005805468,0.001002181,0.00123598,0.006424968,0.792417,0.007800364,0.001582528,0.1697935],"study_design_scores_gemma":[0.00003885791,0.001089838,0.05937461,0.0005892488,0.0002033847,0.002047315,0.002503284,0.01192199,0.8076758,0.006041463,0.108387,0.0001271953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8431678,0.01450282,0.08219207,0.0004677876,0.0005803186,0.000428981,0.0008901235,0.0008003609,0.05696967],"genre_scores_gemma":[0.9621883,0.00342283,0.01584473,0.0001120163,0.00003961078,0.0001552356,0.0004040933,0.0002038223,0.01762928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006428508,"threshold_uncertainty_score":0.02150553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05400162439182835,"score_gpt":0.3311699543811967,"score_spread":0.2771683299893684,"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."}}