{"id":"W4234366696","doi":"10.1002/9781118785317.weom030077","title":"Opportunity Identification","year":2015,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Management","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Extant taxon; Identification (biology); Key (lock); Data science; Entrepreneurship; Management science; Empirical research; Sociology; Engineering ethics; Epistemology; Political science; Computer science; Engineering; Biology; Ecology; Evolutionary biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003614434,0.0003074285,0.0003772567,0.000509845,0.00005015808,0.00006765858,0.0005204268,0.0001168943,0.002818462],"category_scores_gemma":[0.00007102552,0.0002869676,0.00009262165,0.0003864623,0.00009533932,0.0002466429,0.0004750433,0.0001043708,0.001006512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002489839,"about_ca_system_score_gemma":0.00001962294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006753198,"about_ca_topic_score_gemma":0.0002196636,"domain_scores_codex":[0.9982954,0.00001130967,0.0004597916,0.0004244864,0.0005451741,0.0002638077],"domain_scores_gemma":[0.9984596,0.000009455972,0.0007947313,0.0005925412,0.0001168473,0.0000267892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000613777,0.00008167439,0.001449982,0.0007607815,0.0001263213,0.0000116388,0.00001637587,0.000004539647,3.951386e-7,0.004802912,0.9719383,0.02080096],"study_design_scores_gemma":[0.0002250046,0.000005742519,0.001228922,0.0003423479,0.0002252569,1.679758e-7,0.0002119582,0.000007682377,4.015072e-7,0.001076248,0.9963878,0.00028844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007408742,0.00171132,0.00002023055,0.000205435,0.001426833,0.0005437874,0.00002544973,0.0002488706,0.995744],"genre_scores_gemma":[0.0007106115,0.01145073,0.0001848833,0.0007049061,0.002183009,0.00009301498,0.0003329516,0.0002887882,0.9840511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02444954,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159572774949528,"score_gpt":0.2403751118838728,"score_spread":0.2187793841343775,"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."}}