{"id":"W7132370272","doi":"","title":"Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal","year":2021,"lang":"en","type":"other","venue":"Repository of the University of Rijeka","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Croatian; Lexicon; Sentiment analysis; Topic model; The Internet; Coronavirus disease 2019 (COVID-19); Pandemic","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009572132,0.0003229838,0.0002848619,0.002744074,0.0003686657,0.001109522,0.0001836064,0.0002854673,0.001460594],"category_scores_gemma":[0.00239416,0.00009634777,0.0005105425,0.00178502,0.0001689927,0.0006382123,0.000261741,0.0004595603,0.0007963038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762107,"about_ca_system_score_gemma":0.0003554491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006739791,"about_ca_topic_score_gemma":0.006919893,"domain_scores_codex":[0.9995534,0.0001486165,0.00004462339,0.00009258631,0.00009902775,0.00006178192],"domain_scores_gemma":[0.9986254,0.0007742073,0.0001307256,0.00006072671,0.0003585718,0.00005046126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002265899,0.001308949,0.2868748,0.001954341,0.0005243753,0.002518382,0.008719957,0.04264951,0.06490479,0.005919471,0.04996588,0.5323936],"study_design_scores_gemma":[0.00005375518,0.0003037586,0.4802046,0.0002430859,0.0002537083,0.0008631923,0.00772327,0.4595255,0.0146948,0.002074784,0.0339573,0.0001022544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678195,0.0008734364,0.01688675,0.0004549115,0.0001974095,0.000143252,0.005259416,0.0004623389,0.007903112],"genre_scores_gemma":[0.9713433,0.0006680023,0.01445242,0.00003630139,0.0001840689,0.000124148,0.009491796,0.00007722517,0.003622714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006739791,"threshold_uncertainty_score":0.01340115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467324845924841,"score_gpt":0.2145475027183097,"score_spread":0.1998742542590613,"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."}}