{"id":"W2256111520","doi":"10.2139/ssrn.886108","title":"Positional Advantage in Networks","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.001610331,0.0002377178,0.0006068659,0.001730301,0.002349278,0.005629707,0.0006637499,0.001781134,0.03300857],"category_scores_gemma":[0.008854173,0.0002011752,0.0003062615,0.002320418,0.003628423,0.007039599,0.002419134,0.001210557,0.001666052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193953,"about_ca_system_score_gemma":0.001168773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939389,"about_ca_topic_score_gemma":0.006669765,"domain_scores_codex":[0.9987584,0.0003249878,0.00003929011,0.0002699609,0.0003107358,0.0002966123],"domain_scores_gemma":[0.9948789,0.002654714,0.000813481,0.0005119715,0.0005382722,0.0006026144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006168328,0.00002340566,0.003300365,0.0000276089,0.00001345827,0.00005756943,0.0006660073,0.0009445034,0.0001991028,0.9802293,0.001863089,0.01261393],"study_design_scores_gemma":[0.00002873707,0.00005163333,0.004509947,0.00002864344,0.0000398767,0.0001051346,0.002135369,0.003055953,0.0002493338,0.9749444,0.01483801,0.00001294647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3283213,0.001359034,0.01976663,0.007978319,0.0001210111,0.00003903419,0.0003055774,0.00006304189,0.6420461],"genre_scores_gemma":[0.9865646,0.0003736908,0.0007334552,0.000156127,0.00006278561,0.00001368344,0.00004263759,0.000008308747,0.01204471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03300857,"threshold_uncertainty_score":0.1104247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004517692291621018,"score_gpt":0.1968174545642847,"score_spread":0.1922997622726637,"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."}}