{"id":"W2613013050","doi":"","title":"A French railway network history, between HGIS, geohumanities and adjustment tools","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Géomatique du Québec","funders":"","keywords":"Computer 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":[0.001924465,0.0002957856,0.0002040157,0.00403608,0.003436172,0.007338154,0.0005360901,0.0009042964,0.01285198],"category_scores_gemma":[0.003798856,0.0001964342,0.0001626788,0.008474094,0.005223271,0.003995287,0.001504865,0.00110733,0.0003639731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02674599,"about_ca_system_score_gemma":0.00711702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4129837,"about_ca_topic_score_gemma":0.4091623,"domain_scores_codex":[0.9986946,0.0006411506,0.00002882448,0.0002145651,0.0001497799,0.000271171],"domain_scores_gemma":[0.9980252,0.0007613209,0.0003366803,0.0001134244,0.0004528498,0.0003105663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001372388,0.00003688965,0.03810821,0.0001466099,0.00004687433,0.0004617721,0.03197377,0.001411868,0.000296602,0.8278039,0.01602473,0.0835515],"study_design_scores_gemma":[0.00001601872,0.00008181808,0.2421438,0.0005811896,0.00005534763,0.0003557449,0.05125969,0.001260705,0.0003738384,0.03637514,0.6674443,0.00005247185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347242,0.02711216,0.004106521,0.05201356,0.0003936361,0.0000334692,0.001277716,0.0001002019,0.3802386],"genre_scores_gemma":[0.9821284,0.002325582,0.0003494453,0.0004137281,0.00008638039,0.000008720783,0.0001113991,0.0000229237,0.01455343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129837,"threshold_uncertainty_score":0.8211597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06285185564219574,"score_gpt":0.2489471053735454,"score_spread":0.1860952497313497,"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."}}