{"id":"W3113513946","doi":"10.7577/formakademisk.3384","title":"Leverage analysis","year":2020,"lang":"en","type":"article","venue":"FormAkademisk - forskningstidsskrift for design og designdidaktikk","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Leverage (statistics); Causal loop diagram; Generative grammar; Computer science; Stakeholder; Data science; Management science; System dynamics; Risk analysis (engineering); Knowledge management; Artificial intelligence; Business; Engineering; Economics; Management","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008428636,0.0008669657,0.002026206,0.001491491,0.001109514,0.001246074,0.003151363,0.0004761404,0.001505985],"category_scores_gemma":[0.01112282,0.0006953132,0.001948551,0.007144148,0.0003310948,0.001451134,0.000443997,0.0006036585,0.001139058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181973,"about_ca_system_score_gemma":0.0002685655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002355879,"about_ca_topic_score_gemma":0.000004836701,"domain_scores_codex":[0.9890959,0.0006623152,0.003230899,0.002114848,0.003365757,0.001530328],"domain_scores_gemma":[0.9869516,0.007740386,0.00154424,0.001557735,0.0009971091,0.001208929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003231896,0.0002371235,0.01564381,0.0001237792,0.002665507,0.0001161729,0.009279464,0.1212887,0.007451938,0.09135503,0.6998048,0.04880184],"study_design_scores_gemma":[0.002494004,0.001045135,0.001258282,0.00004265943,0.0009418592,0.00003867028,0.0008857811,0.6528634,0.001831763,0.07219606,0.2649288,0.001473561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004029116,0.0007472718,0.9887609,0.001002695,0.0004782642,0.001914136,0.0001622779,0.000492218,0.002413134],"genre_scores_gemma":[0.872794,0.000007611144,0.1200751,0.002412297,0.0007036453,0.0002714117,0.00003246975,0.0001175147,0.003586011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8687649,"threshold_uncertainty_score":0.9997907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3426287267659135,"score_gpt":0.40481731294241,"score_spread":0.06218858617649647,"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."}}