{"id":"W2781999401","doi":"10.1002/smj.2764","title":"Scale matters: <scp>T</scp> he scale of environmental issues in corporate collective actions","year":2018,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Western University","funders":"Networks of Centres of Excellence of Canada; Social Sciences and Humanities Research Council of Canada; Carbon Management Canada; Government of Alberta; Shell Canada; Cenovus Energy","keywords":"Competitor analysis; Business; Scale (ratio); Collective action; Competition (biology); Tailings; Industrial organization; Petroleum industry; Marketing; Environmental resource management; Economics; Environmental science; Political science; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009772644,0.0003792439,0.0004060332,0.001331993,0.0004484403,0.0005903273,0.0006207567,0.00008693174,0.001468167],"category_scores_gemma":[0.00001431944,0.0003424372,0.0001534508,0.001259568,0.0003468606,0.001082381,0.0004443375,0.000345425,0.0004053364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727557,"about_ca_system_score_gemma":0.00003925848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473803,"about_ca_topic_score_gemma":0.000202921,"domain_scores_codex":[0.9972532,0.0000652242,0.0007359268,0.0004861346,0.0007002766,0.0007592058],"domain_scores_gemma":[0.9985063,0.00004625244,0.0008709188,0.0003992269,0.000128999,0.00004832232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009334289,0.008427265,0.325351,0.005358551,0.004222461,0.003467427,0.007515674,0.002421546,0.006165944,0.1799434,0.439873,0.01632041],"study_design_scores_gemma":[0.005287507,0.0003132482,0.05607805,0.0004577583,0.0005891934,0.0000555178,0.2309029,0.004102414,0.0006534506,0.594856,0.1060158,0.0006882446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6213607,0.0001023111,0.0002456731,0.002010689,0.0008038085,0.0009426724,0.000008979348,0.00008132769,0.3744439],"genre_scores_gemma":[0.9738071,0.000147187,0.0009360437,0.001153199,0.00122815,0.00005277792,0.00002067958,0.00005915653,0.0225957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4149126,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443927098501179,"score_gpt":0.2354408337941785,"score_spread":0.2110015628091667,"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."}}