{"id":"W4382357983","doi":"10.1016/j.exis.2023.101269","title":"Social license to operate: Social acceptance in the Quebec context","year":2023,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Contextualization; Context (archaeology); Argument (complex analysis); License; Sociology; Politics; Public relations; Social environment; Social acceptance; Political science; Social science; Social psychology; Psychology; Law; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004493959,0.0001158419,0.0001221486,0.00001694825,0.0005030757,0.000118755,0.0001803296,0.0001151501,0.00002281407],"category_scores_gemma":[0.00001883008,0.0000718989,0.00005427942,0.0004449309,0.0001195119,0.00005778934,0.00006381582,0.0004463378,0.00002325729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005787163,"about_ca_system_score_gemma":0.00001723722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054385,"about_ca_topic_score_gemma":0.0002360484,"domain_scores_codex":[0.9993066,0.00006325085,0.0001153026,0.0001194526,0.0001456277,0.0002497459],"domain_scores_gemma":[0.9997166,0.0001402188,0.00001907925,0.00008399758,0.00001818283,0.00002191578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001719088,0.00001989223,0.0001647565,0.00001688349,0.0001023383,0.000007460313,0.4011127,0.001069747,0.0002787006,0.003612285,0.5191226,0.07447544],"study_design_scores_gemma":[0.0003532006,0.0000188708,0.07230861,0.00001544522,0.00002077115,0.000001428563,0.5471375,0.001529772,0.0001427097,0.00003383402,0.3782275,0.0002103964],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833887,0.00008146556,0.00005162583,0.01019429,0.0000956146,0.0002402134,0.00001041298,0.0001036628,0.005833995],"genre_scores_gemma":[0.9956691,0.00006268248,0.000004687795,0.0007431192,0.0003878829,0.00005360591,0.000003429647,0.00001475567,0.00306071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460248,"threshold_uncertainty_score":0.3869303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336603835281763,"score_gpt":0.2682766867778607,"score_spread":0.234910648425043,"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."}}