{"id":"W7132612616","doi":"","title":"II Relazione tecnica descrittiva delle attività svolte nell'ambito dell'Accordo di collaborazione triennale MATTM-DGSVI e CNR-IIA","year":2016,"lang":"it","type":"other","venue":"CNR ExploRA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Public work; Civil service","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003790973,0.006367788,0.006831477,0.003042563,0.003537039,0.001090526,0.005594491,0.004829757,0.04585576],"category_scores_gemma":[0.001818927,0.006052597,0.002336289,0.0070988,0.003769085,0.002808722,0.00470362,0.003897776,0.369954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003685963,"about_ca_system_score_gemma":0.003336727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535929,"about_ca_topic_score_gemma":0.0004333109,"domain_scores_codex":[0.9727379,0.003154241,0.005217921,0.007469126,0.004543955,0.006876858],"domain_scores_gemma":[0.9777159,0.001707296,0.005016688,0.009416241,0.002637732,0.003506155],"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":[0.00460706,0.004547217,0.00126849,0.000907884,0.002581636,0.001348197,0.00321026,0.00005405612,0.05587666,0.001759869,0.9168506,0.006988078],"study_design_scores_gemma":[0.0118452,0.001868376,0.0002914885,0.007158855,0.001844721,0.0002754668,0.002448538,0.0001881556,0.009173906,0.001362583,0.9561016,0.00744111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07301378,0.1023459,0.02907899,0.0148263,0.03457624,0.03333211,0.03436,0.01455192,0.6639148],"genre_scores_gemma":[0.07058452,0.01670975,0.004012813,0.0008392853,0.007820751,0.002500915,0.00187208,0.01293285,0.882727],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3240982,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975449345015349,"score_gpt":0.2697157207153124,"score_spread":0.2399612272651589,"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."}}