{"id":"W7126043765","doi":"10.5281/zenodo.18392894","title":"Media scan Italia 2019-2024","year":2023,"lang":"it","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Representation (politics); Social media; Social media; Tracking (education); Qualitative research; Print media; Action (physics); Digital media","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":[0.0009072004,0.001264249,0.0007517687,0.01019233,0.0007183466,0.003160794,0.001272394,0.001077428,0.0695394],"category_scores_gemma":[0.005213147,0.0004882189,0.0007300691,0.01200853,0.000414567,0.001404955,0.00195803,0.00109991,0.07736167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453445,"about_ca_system_score_gemma":0.001773518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023941,"about_ca_topic_score_gemma":0.03027312,"domain_scores_codex":[0.9988729,0.0001490009,0.0001617216,0.0002561935,0.0003499897,0.0002102412],"domain_scores_gemma":[0.9967333,0.0009762342,0.0005887948,0.0005527637,0.0008515057,0.0002974804],"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":[0.0001424796,0.0000353457,0.003014388,0.00111589,0.00002505062,0.00008048263,0.0001421213,0.0002315347,0.000370795,0.0009848785,0.9849079,0.008949186],"study_design_scores_gemma":[0.0001069397,0.00002838171,0.01395355,0.0005360233,0.00002113676,0.00009485604,0.0004099581,0.0002947213,0.0005635548,0.0005506403,0.9834127,0.00002750018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004342087,0.00004210053,0.00004102616,0.00004407816,0.00001248101,0.00002266667,0.997763,0.0001973684,0.001443025],"genre_scores_gemma":[0.0008053255,0.00005205139,0.0002396904,0.00003345845,0.00001434886,0.0001960201,0.9971757,0.00006556641,0.001417873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0695394,"threshold_uncertainty_score":0.2326325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841921875828928,"score_gpt":0.353981039199863,"score_spread":0.2855618204415737,"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."}}