{"id":"W7133381744","doi":"","title":"Building and strengthening the link with consumer tribes : An analysis of the major Belgian outdoor tribal events","year":2006,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Government (linguistics); Consumption (sociology); Link (geometry); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005705528,0.00009960638,0.0001982273,0.00008963961,0.0006068697,0.0000493614,0.0002460052,0.00005676436,0.00005824929],"category_scores_gemma":[0.00008560639,0.00005304796,0.00009953733,0.0008354075,0.0002787586,0.0001369976,0.00003236782,0.0001069507,7.805901e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003044169,"about_ca_system_score_gemma":0.0001158457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009911738,"about_ca_topic_score_gemma":0.0281928,"domain_scores_codex":[0.9989238,0.0001266798,0.0001837832,0.0001575808,0.0003393061,0.0002688167],"domain_scores_gemma":[0.999346,0.0001340806,0.000161521,0.0002218944,0.00005193553,0.00008452437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006364215,0.0001256925,0.9422553,0.000006447181,0.0006451973,0.000005208007,0.009771303,0.0001890026,0.0009209958,0.03054808,0.0003312571,0.01513784],"study_design_scores_gemma":[0.00077321,0.00007323895,0.9421738,0.00005525004,0.002198844,0.000002028746,0.004014661,0.000265898,0.0008695347,0.0007778587,0.04855206,0.0002436354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955336,0.0001604615,0.00005339406,0.002491554,0.00007287555,0.0001873918,0.0000240697,0.0000219278,0.001454733],"genre_scores_gemma":[0.9986629,0.00002121745,0.0002215124,0.00004197059,0.0001174473,0.000005572012,0.000006047941,0.000007821218,0.0009155007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0482208,"threshold_uncertainty_score":0.9966813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733275924439374,"score_gpt":0.2928631768449987,"score_spread":0.2755304176006049,"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."}}