{"id":"W7132008574","doi":"","title":"I 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":[0.0037747,0.006262943,0.006725366,0.002997051,0.002228449,0.001318775,0.005486177,0.004756072,0.04529779],"category_scores_gemma":[0.001854636,0.005941799,0.002303541,0.006954946,0.00372326,0.002733662,0.003220813,0.003830258,0.4734258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003674146,"about_ca_system_score_gemma":0.003280946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003580833,"about_ca_topic_score_gemma":0.0004215091,"domain_scores_codex":[0.9727737,0.003434888,0.005130821,0.007374522,0.004506635,0.006779466],"domain_scores_gemma":[0.9775903,0.002046914,0.004929483,0.009341313,0.002591075,0.003500878],"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":[0.004619224,0.003814003,0.001873956,0.001045016,0.002610964,0.001624252,0.002387459,0.00005439785,0.05081656,0.001706304,0.9218066,0.007641287],"study_design_scores_gemma":[0.01143854,0.001312225,0.0003884657,0.007193624,0.001828315,0.0002838144,0.002609682,0.0001939566,0.008841552,0.001380675,0.9571181,0.007411037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04453788,0.1010073,0.03852556,0.01185727,0.03345926,0.03202111,0.03302654,0.01390078,0.6916643],"genre_scores_gemma":[0.06248146,0.01910224,0.004400088,0.0008789112,0.008450574,0.00263566,0.001964148,0.01425235,0.8858346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.428128,"threshold_uncertainty_score":0.9998946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074800224016169,"score_gpt":0.2742649423476659,"score_spread":0.2435169401075042,"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."}}