{"id":"W4400440172","doi":"10.5465/amproc.2024.14667abstract","title":"Pathways to Scaling International Impact: Exploring Capabilities in B Corps","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Scaling; Computer science; Mathematics","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":[0.00263386,0.0002386668,0.0001297623,0.002370884,0.002596711,0.006408568,0.0003740152,0.0005906184,0.004687072],"category_scores_gemma":[0.007381388,0.0001768952,0.0001823991,0.002133858,0.005837143,0.005767866,0.00487239,0.001126628,0.0002278849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510107,"about_ca_system_score_gemma":0.00208981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791134,"about_ca_topic_score_gemma":0.004743297,"domain_scores_codex":[0.9988132,0.000650113,0.00003689372,0.00008737094,0.0001639502,0.000248574],"domain_scores_gemma":[0.9942373,0.003473912,0.0007626622,0.0002610505,0.0004929843,0.0007720346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000232432,0.0004156562,0.1462967,0.000385822,0.00005040006,0.004187455,0.4190516,0.00370142,0.004449583,0.3105261,0.003143861,0.1075589],"study_design_scores_gemma":[0.00001527346,0.0002344816,0.09047091,0.0005657655,0.00002483531,0.0008181005,0.8060707,0.002799453,0.001502115,0.05786185,0.03958935,0.00004712335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199431,0.0001864764,0.002295983,0.001051678,0.0000125245,0.00005928443,0.00004006458,0.000009947224,0.0764009],"genre_scores_gemma":[0.9979873,0.0001119472,0.0009112988,0.00004985238,0.0000019255,0.00001657069,0.00001380881,0.000003737898,0.0009035364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006408568,"threshold_uncertainty_score":0.01821214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103101853582966,"score_gpt":0.2862504938778184,"score_spread":0.1831486402948524,"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."}}