{"id":"W3118800493","doi":"10.11606/d.55.2018.tde-04072018-141043","title":"MODELAGEM POR SEMI-ESPAÇOS DEFINIDOS IMPLICITAMENTE","year":2018,"lang":"pt","type":"dissertation","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Political science","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":[0.0009785201,0.0009372807,0.0009354941,0.0008559537,0.0009943609,0.003673254,0.001584667,0.001853013,0.006726165],"category_scores_gemma":[0.00297458,0.000812837,0.002890489,0.001302759,0.002221235,0.004717455,0.003279203,0.00196289,0.001700817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212395,"about_ca_system_score_gemma":0.00125198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003091537,"about_ca_topic_score_gemma":0.002830518,"domain_scores_codex":[0.9987009,0.0002895027,0.0001312993,0.0002911499,0.0004971045,0.00009006836],"domain_scores_gemma":[0.9986713,0.0005754902,0.00009866023,0.0003803239,0.0002459097,0.00002820351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004811641,0.00003528233,0.0005091291,0.0006738448,0.00006180862,0.0004105651,0.0013575,0.1152384,0.01875945,0.7978244,0.001694691,0.06338677],"study_design_scores_gemma":[0.00003338071,0.0001062403,0.000539381,0.0003911608,0.00009547546,0.0007878025,0.0006537549,0.4404789,0.0247525,0.394156,0.1379132,0.00009225257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008520005,0.0008362898,0.9795396,0.0002182366,0.0001153776,0.0000352572,0.0001620004,0.0002655835,0.01030767],"genre_scores_gemma":[0.216879,0.005375463,0.7388085,0.0002614711,0.0001579563,0.0003657968,0.001015229,0.0004624098,0.03667418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006726165,"threshold_uncertainty_score":0.02250129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121509400203557,"score_gpt":0.2400174697967242,"score_spread":0.2278665297763685,"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."}}