{"id":"W2946547352","doi":"10.17649/tet.33.2.3173","title":"Okos, innovatív vagy mindkettő? Az Innováció Európai Fővárosa (iCapital) versenyek eddigi tapasztalatai","year":2019,"lang":"hu","type":"article","venue":"Tér és Társadalom","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nordion (Canada)","funders":"","keywords":"Forestry; Humanities; Art; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001722725,0.0008164091,0.001206256,0.0003057838,0.001798759,0.0005629042,0.001259385,0.0007023029,0.01278533],"category_scores_gemma":[0.0006364942,0.0009211178,0.0004348074,0.001682216,0.001458335,0.001023754,0.000524836,0.0009051992,0.03842644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175661,"about_ca_system_score_gemma":0.002408052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006382111,"about_ca_topic_score_gemma":0.001020739,"domain_scores_codex":[0.9938999,0.0004067048,0.001356957,0.00144132,0.001062336,0.001832764],"domain_scores_gemma":[0.9964672,0.0007539743,0.0008071315,0.0008910318,0.0005557949,0.0005248215],"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":[0.0001973699,0.0009278522,0.05251217,0.0002026172,0.001171484,0.00004485108,0.1088752,0.0000183927,0.0004214587,0.3026329,0.5189348,0.0140609],"study_design_scores_gemma":[0.001235052,0.0002139848,0.02338768,0.0001219773,0.000132908,0.000007877029,0.07413629,0.00002465267,0.000103703,0.009306443,0.8900367,0.001292717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6975591,0.001866566,0.000007241678,0.01637706,0.01071548,0.001043579,0.0002494607,0.0001795658,0.272002],"genre_scores_gemma":[0.8702335,0.0007753709,0.0001712425,0.00308978,0.00389014,0.00005723013,0.0001604097,0.0001048192,0.1215175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3711019,"threshold_uncertainty_score":0.9995008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053195445021135,"score_gpt":0.2623449119457306,"score_spread":0.2518129574955192,"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."}}