{"id":"W7132472254","doi":"","title":"III Relazione tecnica descrittiva delle attività svolte nell'ambito dell'Accordo di collaborazione triennale MATTM-DGSVI e CNR-IIA","year":2017,"lang":"it","type":"other","venue":"CNR ExploRA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Order (exchange); Public work","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":[0.004361738,0.00655258,0.00781373,0.002742337,0.00484169,0.002626463,0.008255795,0.005311637,0.01553793],"category_scores_gemma":[0.002585017,0.007148251,0.002501961,0.004770996,0.004705095,0.003383407,0.004369879,0.005339568,0.2074506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116979,"about_ca_system_score_gemma":0.003782827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250573,"about_ca_topic_score_gemma":0.001284513,"domain_scores_codex":[0.9736496,0.002759536,0.004547667,0.007720491,0.004618406,0.006704347],"domain_scores_gemma":[0.9706527,0.001349533,0.007447608,0.01431142,0.002699199,0.003539537],"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":[0.005175858,0.004099681,0.001573027,0.001164075,0.003003048,0.002487257,0.003501234,0.0001490364,0.02271509,0.0009061467,0.9478042,0.007421358],"study_design_scores_gemma":[0.0135767,0.001362026,0.0005523278,0.007805968,0.002462215,0.0003211094,0.002882262,0.0005890584,0.005644066,0.0007800824,0.9562786,0.00774559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04696485,0.1182637,0.01826433,0.005962134,0.03296658,0.02947031,0.02005138,0.01016699,0.7178898],"genre_scores_gemma":[0.1181689,0.02051693,0.004042525,0.0006046279,0.007576069,0.002400842,0.003039879,0.01190537,0.8317448],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1919127,"threshold_uncertainty_score":0.9984089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461565549639843,"score_gpt":0.2827974587293233,"score_spread":0.236640903765339,"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."}}