{"id":"W7098698941","doi":"","title":"&amp;apos;IAIA14 Conference Proceedings&amp;apos; Impact Assessment for Social and Economic Development","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Academic Research Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Context (archaeology); Legislature; Unintended consequences; Monitoring and evaluation; Resource (disambiguation); Impact assessment; Economic impact analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002617216,0.0001712591,0.0002985394,0.0001556538,0.0006359837,0.000487965,0.0004253229,0.0001652611,0.0009497464],"category_scores_gemma":[0.0003476627,0.0001494054,0.0001006687,0.0001693979,0.0003069465,0.0005981775,0.0001740059,0.0001842358,0.000208325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236148,"about_ca_system_score_gemma":0.002693295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792791,"about_ca_topic_score_gemma":0.008630617,"domain_scores_codex":[0.9979783,0.00006313173,0.0003006968,0.0003922089,0.0005953612,0.0006703096],"domain_scores_gemma":[0.9987074,0.0001103535,0.0001384842,0.00007704398,0.0003938507,0.0005728771],"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":[0.0002145858,0.0001980376,0.1761918,0.00006692098,0.0009605949,0.000001639736,0.1372706,0.00001590147,0.000653471,0.1350104,0.5044934,0.0449226],"study_design_scores_gemma":[0.001077454,0.00007232437,0.007564325,0.00001309861,0.00005726274,0.000001082417,0.0260623,0.0003113702,0.00008033631,0.006647249,0.9576603,0.0004529359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774936,0.00003187068,0.001734931,0.003447275,0.00009867576,0.0006592391,0.00001977416,0.00008972654,0.1164249],"genre_scores_gemma":[0.972494,0.00008684405,0.01259492,0.0001214811,0.0003180461,0.00008808393,0.00002686236,0.00001437759,0.0142554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4531669,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5004729629933412,"score_gpt":0.5314421746727975,"score_spread":0.03096921167945632,"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."}}