{"id":"W6995790290","doi":"","title":"Polarizáció - függőség - krízis: Eltérő térbeli válaszok","year":2014,"lang":"hu","type":"book","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Magyar Tudományos Akadémia; University of Waterloo; Budapesti Corvinus Egyetem","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001897858,0.0007097333,0.0004704767,0.001084845,0.001039974,0.003041788,0.000333005,0.0006753854,0.02919025],"category_scores_gemma":[0.0003195428,0.0003163048,0.0002420068,0.001677119,0.001076562,0.002342176,0.00157329,0.001974817,0.01346322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276793,"about_ca_system_score_gemma":0.001049915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379465,"about_ca_topic_score_gemma":0.007386847,"domain_scores_codex":[0.9998971,0.00002147275,0.000005884291,0.00002622234,0.00003245893,0.00001696122],"domain_scores_gemma":[0.9999561,0.00001272068,0.000004778942,0.000005653753,0.00001387829,0.000006954765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001376164,0.00005207259,0.0004315436,0.0006170622,0.00001726221,0.0002218111,0.002571665,0.0007476179,0.0009361904,0.2227271,0.450302,0.321238],"study_design_scores_gemma":[0.000007329885,0.000007043854,0.0005262199,0.0001992934,0.000005342342,0.0001303739,0.0002967954,0.00006466149,0.0001847969,0.01058755,0.9879845,0.000006017933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004033234,0.1594948,0.004765538,0.008978268,0.008980487,0.00006125165,0.0006089028,0.0005562524,0.8125212],"genre_scores_gemma":[0.05671437,0.07405898,0.003569457,0.001697767,0.002178941,0.00008103285,0.0005510407,0.0008517973,0.8602967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02919025,"threshold_uncertainty_score":0.09765106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776481012201761,"score_gpt":0.265219672568713,"score_spread":0.2374548624466954,"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."}}