{"id":"W562283144","doi":"10.71781/19639","title":"Experimentation and political science : six applications","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Political Science Research and Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Computer science; Data science; Epistemology; Philosophy; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001331501,0.00009529004,0.0001195817,0.0001455433,0.001670132,0.0006942474,0.0007365916,0.0001116652,0.001544206],"category_scores_gemma":[0.0007369735,0.00009414994,0.00002164465,0.0005742059,0.001294979,0.0007061363,0.00006680519,0.0001417482,0.0003498343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989827,"about_ca_system_score_gemma":0.005543476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007154586,"about_ca_topic_score_gemma":0.002702787,"domain_scores_codex":[0.997381,0.00006980504,0.0001648239,0.000436349,0.0007354529,0.001212527],"domain_scores_gemma":[0.9981827,0.0001064362,0.0000586438,0.0001615724,0.0002099501,0.001280756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003400299,0.0003239363,0.001057322,0.00001975784,0.00001106234,0.000003529451,0.05478341,1.206039e-7,0.005248631,0.3410406,0.0007586304,0.596719],"study_design_scores_gemma":[0.0004156309,0.0001359699,0.04866505,0.0001114675,0.00003839792,0.000007120974,0.2507053,0.00002994301,0.02807206,0.01573608,0.6552126,0.000870402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3232968,0.00008080462,0.00001265716,0.001007441,0.0001727717,0.0008254739,0.0000101217,0.000002641796,0.6745912],"genre_scores_gemma":[0.9766231,0.0001178148,0.001557205,0.00004265955,0.0002742244,0.0002172335,0.0001083035,0.000006772023,0.02105268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6544539,"threshold_uncertainty_score":0.9996296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09262883205201236,"score_gpt":0.52231456237163,"score_spread":0.4296857303196177,"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."}}