{"id":"W962079819","doi":"10.1007/978-3-642-15804-9_15","title":"Trends and Topics from the Interviews","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Prime minister; Inequality; Competition (biology); Politics; Pinnacle; Political science; Sociology; Public administration; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003037854,0.0004957512,0.0003406077,0.007403189,0.004409686,0.003793328,0.00094902,0.001384325,0.01890122],"category_scores_gemma":[0.01495991,0.000424193,0.0001886048,0.02113333,0.002308731,0.006079049,0.002581775,0.002579659,0.004431142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006409245,"about_ca_system_score_gemma":0.002997239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296374,"about_ca_topic_score_gemma":0.04751623,"domain_scores_codex":[0.9962147,0.001842803,0.0001810761,0.0003010316,0.0007679828,0.0006923955],"domain_scores_gemma":[0.9891959,0.008447016,0.0004997194,0.0001543989,0.001313301,0.0003896622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001467618,0.00005653296,0.004959061,0.0006124788,0.000003901537,0.0006165244,0.8486572,0.00009912915,0.001774531,0.02654789,0.06482246,0.0517035],"study_design_scores_gemma":[0.000005393528,0.00001589689,0.01582251,0.0006162708,0.00000431388,0.0002909574,0.6391883,0.0001060752,0.0007539074,0.002260254,0.3409124,0.00002368172],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5241621,0.01076076,0.005473357,0.02835178,0.0008554882,0.0004710876,0.02332054,0.0001723968,0.4064325],"genre_scores_gemma":[0.6155214,0.01748815,0.00299929,0.004748159,0.0004468344,0.001840018,0.01693544,0.000606428,0.3394142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02296374,"threshold_uncertainty_score":0.06323093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07108510737143568,"score_gpt":0.3439217379710662,"score_spread":0.2728366305996305,"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."}}