{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009066118,0.00183608,0.00144001,0.01037136,0.002152248,0.006799866,0.002519065,0.00166673,0.02302664],"category_scores_gemma":[0.04006362,0.0007523423,0.002420472,0.007140848,0.004033725,0.00928221,0.005849073,0.002877527,0.002696848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003059112,"about_ca_system_score_gemma":0.002448938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727097,"about_ca_topic_score_gemma":0.002247707,"domain_scores_codex":[0.9899617,0.002620204,0.0006390971,0.002233417,0.003830548,0.0007149979],"domain_scores_gemma":[0.9806758,0.01075316,0.002031956,0.003197653,0.002743139,0.0005983678],"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":[0.000146893,0.00009907403,0.009342516,0.0004328907,0.0001960078,0.0003287563,0.0009834504,0.01308196,0.001616826,0.7577603,0.007138506,0.2088728],"study_design_scores_gemma":[0.00003050053,0.0000953332,0.003972063,0.0003022374,0.0001317346,0.0003132867,0.0008813282,0.08074021,0.002599555,0.85885,0.05201125,0.0000724276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01671573,0.00128341,0.9282124,0.001364825,0.0001144766,0.0004036435,0.001664007,0.001370187,0.04887138],"genre_scores_gemma":[0.615674,0.001430979,0.364664,0.0005216151,0.0002825221,0.00125126,0.003371337,0.0007859707,0.01201841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02302664,"threshold_uncertainty_score":0.07703179,"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."}}