{"id":"W3147270510","doi":"","title":"DINAMIČKO TEMPIRANJE TRŽIŠTA INVESTICIJSKIH FONDOVA U HRVATSKOJ: PRISTUP POMIČNE REGRESIJE","year":2019,"lang":"hr","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Physics; Economics; Political science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005034768,0.000560119,0.00121792,0.0009161447,0.0007487947,0.00006630095,0.001101738,0.0003074871,0.001005445],"category_scores_gemma":[0.00006044774,0.0008345598,0.0005183036,0.0009475113,0.0004856909,0.0005349348,0.001619899,0.0004172552,0.001385749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185556,"about_ca_system_score_gemma":0.0001335296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321893,"about_ca_topic_score_gemma":0.0001782541,"domain_scores_codex":[0.9970136,0.0001222604,0.0005704928,0.001190256,0.0002503465,0.0008530744],"domain_scores_gemma":[0.9973409,0.0002462015,0.001216361,0.0007050289,0.0002291634,0.0002623285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001229821,0.001449958,0.2085755,0.001904312,0.004161302,0.0009860577,0.2960204,0.002388645,0.000060866,0.3777671,0.1026417,0.002814378],"study_design_scores_gemma":[0.01227439,0.0004960435,0.3054473,0.001236737,0.0005979011,0.00001410152,0.4632745,0.02008848,0.00002886708,0.002584475,0.1909918,0.002965322],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417902,0.0006354572,0.002530763,0.003784602,0.001368407,0.0008149372,0.0001481936,0.000136396,0.0487911],"genre_scores_gemma":[0.8820028,0.001336715,0.001789676,0.0001152453,0.00007262218,7.51325e-12,0.00007701975,0.00003233568,0.1145736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3751826,"threshold_uncertainty_score":0.9999078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468169025520445,"score_gpt":0.1550002455800858,"score_spread":0.1403185553248814,"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."}}