{"id":"W7162268665","doi":"","title":"Model evolution","year":2006,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Corporate governance; Unintended consequences; Public policy; Growth model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008801675,0.0007190144,0.0006644362,0.0008400137,0.001064111,0.002806496,0.001554944,0.001436374,0.0626032],"category_scores_gemma":[0.006721843,0.0004523689,0.001514827,0.0007923862,0.0007206557,0.002357156,0.001645797,0.001561269,0.01079275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162135,"about_ca_system_score_gemma":0.001821257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118176,"about_ca_topic_score_gemma":0.01095324,"domain_scores_codex":[0.9994011,0.0002106683,0.00002784193,0.0001803302,0.0001092837,0.0000707837],"domain_scores_gemma":[0.9987953,0.000473763,0.00007606661,0.0002924487,0.0002375064,0.0001248557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001293603,0.00009926744,0.004453933,0.0002141224,0.0001829671,0.0002030998,0.0003414481,0.3378714,0.001333416,0.5174534,0.07028103,0.06743664],"study_design_scores_gemma":[0.0000523459,0.00003352934,0.0008616527,0.00005912174,0.00004844409,0.0001188274,0.0001479645,0.6555938,0.0005543943,0.2513774,0.09111729,0.00003531283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05058641,0.001401743,0.5527164,0.0072328,0.001055295,0.0003050912,0.01193829,0.005482323,0.3692816],"genre_scores_gemma":[0.6879022,0.001239562,0.1528693,0.0009097013,0.0001995958,0.0006123348,0.01371943,0.003273109,0.1392747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0626032,"threshold_uncertainty_score":0.2094286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883791590774736,"score_gpt":0.3142439652199935,"score_spread":0.2654060493122461,"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."}}