{"id":"W2078484402","doi":"10.29397/reciis.v1i1.898","title":"Abrir o espaço semântico em prol da inteligência coletiva","year":2007,"lang":"pt","type":"article","venue":"Reciis","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003838737,0.001090557,0.0007620161,0.003544743,0.001903442,0.01081896,0.001464792,0.001700584,0.01194662],"category_scores_gemma":[0.01016072,0.0006386291,0.001477714,0.003825939,0.00466518,0.01492533,0.005432212,0.002371649,0.004637475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520609,"about_ca_system_score_gemma":0.002744983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006211394,"about_ca_topic_score_gemma":0.006594955,"domain_scores_codex":[0.9961191,0.001081543,0.0003819668,0.0008950267,0.001266672,0.0002556597],"domain_scores_gemma":[0.9947928,0.001727064,0.0003076504,0.001662262,0.001260598,0.0002496419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002576926,0.0001080139,0.004479848,0.00112585,0.0001036755,0.0006375099,0.01054334,0.00375265,0.02135019,0.6167929,0.01460115,0.3262472],"study_design_scores_gemma":[0.00003546603,0.0001507589,0.007066634,0.0007027024,0.0002176332,0.0009706944,0.008684915,0.03156203,0.02405,0.465272,0.4611621,0.0001250901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0486194,0.002634955,0.8410349,0.00493355,0.0005033496,0.0003100025,0.001495846,0.00582834,0.09463966],"genre_scores_gemma":[0.4001373,0.00272504,0.5446072,0.001096526,0.0002452768,0.0003366422,0.00275699,0.001831056,0.04626399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01194662,"threshold_uncertainty_score":0.03996539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295972082989727,"score_gpt":0.296103806234188,"score_spread":0.2631440854042907,"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."}}