{"id":"W200480069","doi":"","title":"Singulariser l’ordinaire","year":2012,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Theodolite; Geography; Cartography","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":[0.006937935,0.003955466,0.002642236,0.003995679,0.01045194,0.01496412,0.002581432,0.005841395,0.04184145],"category_scores_gemma":[0.01218229,0.00209609,0.005614957,0.002658603,0.0109329,0.007700273,0.005121564,0.01414498,0.01592849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01234797,"about_ca_system_score_gemma":0.005881473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.170007,"about_ca_topic_score_gemma":0.1230182,"domain_scores_codex":[0.989421,0.002934343,0.0004465664,0.002052378,0.00424373,0.0009019967],"domain_scores_gemma":[0.994383,0.001662108,0.0002699058,0.001184285,0.002104629,0.0003960041],"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":[0.0006666049,0.0003125934,0.002636318,0.0005076832,0.0003688651,0.002297158,0.004308701,0.002579015,0.01355031,0.8034425,0.03735904,0.1319712],"study_design_scores_gemma":[0.0005596877,0.0002333882,0.008594135,0.0004782788,0.0002314922,0.002464865,0.003898739,0.01085056,0.01719277,0.1109874,0.8441783,0.0003304019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1293605,0.006821572,0.4041853,0.02112001,0.009513166,0.0005049632,0.001895425,0.00953311,0.417066],"genre_scores_gemma":[0.4182876,0.004025301,0.1382212,0.002503343,0.004639546,0.0004161874,0.002755492,0.004491152,0.4246602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.170007,"threshold_uncertainty_score":0.3380349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293136886968889,"score_gpt":0.1799120536660805,"score_spread":0.1669806847963917,"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."}}