{"id":"W4233373111","doi":"10.25071/1923-9408.25577","title":"Portfolio","year":2005,"lang":"it","type":"article","venue":"Tessera","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"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":[0.0002653652,0.0003568013,0.000342538,0.0001983677,0.0001438645,0.0001448089,0.0004394848,0.0001824336,0.03241885],"category_scores_gemma":[0.00009490376,0.0003902612,0.0001438508,0.000667448,0.000107932,0.0004745551,0.0001258686,0.0003853043,0.3507251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587373,"about_ca_system_score_gemma":0.0001804538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005807474,"about_ca_topic_score_gemma":0.00002680582,"domain_scores_codex":[0.997702,0.00006880586,0.0004414187,0.0004938372,0.0004798042,0.0008141485],"domain_scores_gemma":[0.9984294,0.00005851275,0.000190306,0.0008689986,0.000145977,0.0003067782],"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":[0.0001150055,0.001284322,0.009013843,0.00005773882,0.0002132803,0.0002082408,0.002293925,0.0005733246,0.03421101,0.01253591,0.9051986,0.03429479],"study_design_scores_gemma":[0.0009307968,0.00006873314,0.01740267,0.00007709876,0.0001222425,0.00005984613,0.0001299802,0.001677494,0.01054266,0.0002667118,0.9681461,0.0005756399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5930599,0.01263027,0.0000121702,0.003363973,0.0006356215,0.0005007536,0.0002065562,0.001044095,0.3885466],"genre_scores_gemma":[0.9571404,0.0001340151,0.001097467,0.001006854,0.001813042,0.00001334286,0.00003899915,0.0002331942,0.03852264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3640805,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679211103113998,"score_gpt":0.2712127961145038,"score_spread":0.2544206850833638,"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."}}