{"id":"W2993818279","doi":"","title":"INTRODUCTION DU CONCEPT DE PATRONS GÉOMÉTRIQUES ET APPLICATION AUX BâTIMENTS AFIN DE FACILITER LEUR GÉNÉRALISATION CARTOGRAPHIQUE À LA VOLÉE","year":2019,"lang":"fr","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659703,0.001068058,0.0007727079,0.003647175,0.001336586,0.005265368,0.001818216,0.002432073,0.01634059],"category_scores_gemma":[0.004182323,0.0007688547,0.001813147,0.004577154,0.006843564,0.004790284,0.001934851,0.003744444,0.003628625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909257,"about_ca_system_score_gemma":0.001246585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0135397,"about_ca_topic_score_gemma":0.008511166,"domain_scores_codex":[0.9985881,0.000421103,0.0000883297,0.0004066975,0.0004322695,0.00006340115],"domain_scores_gemma":[0.9971482,0.00153028,0.0001644803,0.0003521374,0.0007118773,0.00009300037],"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":[0.0000258576,0.00001816899,0.001323587,0.0005760681,0.00004487825,0.0002380804,0.001425617,0.009306833,0.002727893,0.8895578,0.006149,0.08860628],"study_design_scores_gemma":[0.00001444946,0.00009840292,0.004038557,0.0005061126,0.00005959873,0.001523768,0.001067634,0.03736282,0.002244132,0.3971422,0.5558202,0.0001219948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01512612,0.02478241,0.8509031,0.007677963,0.001538807,0.0001574795,0.0007853443,0.0008520246,0.0981767],"genre_scores_gemma":[0.256085,0.03657154,0.6119568,0.001545762,0.002452186,0.0004470524,0.0008056638,0.0006371085,0.08949877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01634059,"threshold_uncertainty_score":0.05466467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009012469863492235,"score_gpt":0.2720007534622049,"score_spread":0.2629882835987126,"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."}}