{"id":"W2495909430","doi":"10.1002/9781118678381.ch03","title":"How to Make IAs More Influential","year":2013,"lang":"en","type":"other","venue":"Impact Assessment","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legitimacy; Foundation (evidence); Best practice; Political science; Management science; Good practice; Process (computing); Offset (computer science); Engineering ethics; Engineering; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000684328,0.0003885305,0.0003944922,0.0004207841,0.0000898612,0.001104154,0.0002854177,0.000119704,0.004892833],"category_scores_gemma":[0.00001773065,0.0003049072,0.0001733768,0.0002882873,0.00003576191,0.0002685278,0.0002666497,0.000132972,0.001339973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000927127,"about_ca_system_score_gemma":0.00003584346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008966962,"about_ca_topic_score_gemma":0.0001332501,"domain_scores_codex":[0.9986681,0.000006171716,0.0001731594,0.0003325228,0.0004443978,0.0003756893],"domain_scores_gemma":[0.9991718,0.000006935727,0.0002807958,0.0004158465,0.00009241185,0.0000322012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003866067,0.00003612547,0.004059089,0.00008961975,0.0001593238,0.000003842529,0.0000136076,0.00002545428,0.00001947268,0.002244818,0.9805424,0.01280243],"study_design_scores_gemma":[0.0002682268,0.00001070177,0.09970723,0.0001242036,0.0000502187,5.070529e-7,0.000127002,0.0001850225,8.669814e-7,0.0001234725,0.8990505,0.0003520856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001754688,0.0001711552,0.001768421,0.006036922,0.001154914,0.0009651407,0.00001433767,0.0004123662,0.987722],"genre_scores_gemma":[0.05941639,0.0000157748,0.0008270125,0.00322456,0.004981011,0.0001637343,0.00009042311,0.0004011325,0.93088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09564815,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273940628199592,"score_gpt":0.3233997379637661,"score_spread":0.3006603316817702,"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."}}