{"id":"W4301284503","doi":"10.22459/uc.08.2016","title":"Unintended Consequences","year":2016,"lang":"en","type":"book","venue":"ANU Press eBooks","topic":"Commonwealth, Australian Politics and Federalism","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ANU Centre for European Studies; University of New South Wales; Helsingin Yliopisto; Australian National University; European University Institute; McGill University; University of California Berkeley","keywords":"Unintended consequences; Selection (genetic algorithm); Political science; Law; Engineering ethics; Sociology; Library science; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004208522,0.0004606087,0.0004331758,0.0007316518,0.003708162,0.004757364,0.001316656,0.004665615,0.03304229],"category_scores_gemma":[0.01691759,0.0002823575,0.0005924781,0.0006486971,0.009701204,0.005394636,0.004743149,0.006778288,0.005142281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002236487,"about_ca_system_score_gemma":0.003549472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003040478,"about_ca_topic_score_gemma":0.005669736,"domain_scores_codex":[0.995882,0.001359085,0.0001737135,0.00051383,0.001279752,0.0007915854],"domain_scores_gemma":[0.9944836,0.002632621,0.0004457416,0.001131732,0.0009304505,0.0003758188],"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":[0.00003128785,0.00004934505,0.001821798,0.00009673618,0.00002569764,0.001082704,0.002286847,0.0004596006,0.0001821437,0.8284124,0.126451,0.03910043],"study_design_scores_gemma":[0.00001342827,0.00003108881,0.00216945,0.0008124942,0.00003203786,0.00158025,0.004918484,0.0003543669,0.000509714,0.4626059,0.5269381,0.00003460975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01565451,0.007306872,0.005567651,0.1011224,0.005805951,0.00005669912,0.0004812389,0.0001302801,0.8638744],"genre_scores_gemma":[0.5573915,0.01431082,0.002510476,0.09583214,0.003075733,0.0002149908,0.0003894284,0.0003044214,0.3259704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03304229,"threshold_uncertainty_score":0.1105375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028039119841875,"score_gpt":0.3478293737107301,"score_spread":0.2450254617265426,"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."}}