{"id":"W4386431384","doi":"10.1007/978-3-031-39626-7_3","title":"E-Environment","year":2023,"lang":"en","type":"book-chapter","venue":"EAI/Springer Innovations in Communication and Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Leverage (statistics); Business; Flexibility (engineering); Business environment; Marketing; Computer science","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":[],"category_scores_codex":[0.0006244984,0.0002770855,0.0002713833,0.0007709034,0.0003378062,0.000310962,0.0006470199,0.0001990142,0.0003075947],"category_scores_gemma":[0.00007207564,0.0003107346,0.000042424,0.0003773106,0.0001549147,0.0004164269,0.001520642,0.0006120193,0.0008053295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000582681,"about_ca_system_score_gemma":0.00001978114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001290676,"about_ca_topic_score_gemma":0.0000720281,"domain_scores_codex":[0.9985026,0.00000701524,0.0006473329,0.0003832576,0.0002475239,0.0002122589],"domain_scores_gemma":[0.9983651,0.0001158492,0.0004513124,0.0009102268,0.0001494286,0.000008054803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003399523,0.00002549731,0.001116745,0.0001021468,0.00002071698,0.000002269644,0.00005251893,0.0001637224,0.000008887812,0.9219651,0.002660201,0.07387877],"study_design_scores_gemma":[0.0002381061,0.000003501389,0.00802181,0.0009035031,0.00003333393,0.000003073385,0.00008509647,0.01065207,0.000003877846,0.08599031,0.8934251,0.0006402334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002536526,0.0008733277,0.004623818,0.003846693,0.0006215206,0.0005753217,0.00001121668,0.0004923713,0.9864192],"genre_scores_gemma":[0.6202779,0.00370771,0.0086081,0.005920068,0.00234304,0.00008483281,0.0021941,0.0004661379,0.3563981],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8907649,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119958080550252,"score_gpt":0.289290193095618,"score_spread":0.1772943850405928,"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."}}