{"id":"W2545044335","doi":"","title":"The decisive influence of the socio-historical context of the governance of sports facilities: the case of the city of Nice.","year":2016,"lang":"en","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nice; Context (archaeology); Corporate governance; Political science; History; Business; Computer science; Archaeology; Finance","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":[0.001522643,0.0002288219,0.0003798881,0.001460727,0.009330697,0.009733682,0.001942045,0.002455286,0.009862904],"category_scores_gemma":[0.004619536,0.0003747315,0.0004510491,0.002289622,0.0160439,0.002527155,0.007747901,0.002367829,0.0004766923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.019666,"about_ca_system_score_gemma":0.01012164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3397392,"about_ca_topic_score_gemma":0.6412287,"domain_scores_codex":[0.9959525,0.001646365,0.00004839393,0.0002241517,0.0003330153,0.001795523],"domain_scores_gemma":[0.9970335,0.0008506718,0.0005779721,0.0002002141,0.0003709766,0.0009666799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004225411,0.0002410227,0.1440324,0.0005975672,0.0002605863,0.01341948,0.1776797,0.003483088,0.001321306,0.5876516,0.02990383,0.04098689],"study_design_scores_gemma":[0.00004727863,0.0001340639,0.3896712,0.001125781,0.0001417067,0.001925713,0.3061078,0.001091605,0.0003175368,0.02211572,0.2771481,0.0001733295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399284,0.004454309,0.001428417,0.03878849,0.0001804078,0.00008366274,0.0005763125,0.00003913151,0.2145208],"genre_scores_gemma":[0.9967588,0.0003509256,0.0001079169,0.0003189658,0.00002720816,0.00001065717,0.00002907984,0.00001058049,0.002385985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3397392,"threshold_uncertainty_score":0.6755234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305825552230648,"score_gpt":0.2987743259696506,"score_spread":0.2757160704473441,"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."}}