{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006074334,0.001184755,0.0009047627,0.004119502,0.002347726,0.0130237,0.001638372,0.002372267,0.09412717],"category_scores_gemma":[0.006618672,0.0005386262,0.001262679,0.00329236,0.002319279,0.002115147,0.005049143,0.00315949,0.02450498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231329,"about_ca_system_score_gemma":0.01674348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1680054,"about_ca_topic_score_gemma":0.2190422,"domain_scores_codex":[0.9968894,0.0004152838,0.00009683601,0.0001704731,0.00209196,0.0003360669],"domain_scores_gemma":[0.9963524,0.0004795274,0.0001116564,0.000267727,0.002279241,0.0005094203],"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":[0.0000487676,0.00009798704,0.001704665,0.0003357847,0.00003960193,0.0001621756,0.0003059102,0.002856499,0.0004875032,0.03001761,0.7375988,0.2263448],"study_design_scores_gemma":[0.000009612274,0.00001985025,0.003603033,0.0004991344,0.00001174936,0.00003294005,0.00033385,0.002108603,0.0002911846,0.008762445,0.9843028,0.00002491164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002860701,0.009484403,0.01981315,0.02501893,0.007601659,0.0007809424,0.00412109,0.001417295,0.9289019],"genre_scores_gemma":[0.0649469,0.03316284,0.0512367,0.002796227,0.002630402,0.0009796013,0.007001736,0.001452125,0.8357934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1680054,"threshold_uncertainty_score":0.334055,"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."}}