{"id":"W7132592182","doi":"","title":"II Relazione tecnica descrittiva delle attività svolte nell'ambito dell'Accordo di collaborazione triennale MATTM-DGSVI e CNR-IIA","year":2019,"lang":"it","type":"other","venue":"CNR ExploRA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Regional development; Citizenship","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":[0.003778985,0.006498259,0.007585082,0.003125312,0.002914944,0.001323392,0.005824707,0.005274795,0.01814986],"category_scores_gemma":[0.001664374,0.007075036,0.002453467,0.009805715,0.002743247,0.002695869,0.00504777,0.005321027,0.3746698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003424032,"about_ca_system_score_gemma":0.00375329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006201644,"about_ca_topic_score_gemma":0.000410525,"domain_scores_codex":[0.9724396,0.003043753,0.005212636,0.007858194,0.004792335,0.00665346],"domain_scores_gemma":[0.9770256,0.001535008,0.005113494,0.01081617,0.002548812,0.002960902],"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":[0.00463099,0.005610975,0.001876068,0.001603094,0.002896583,0.001092565,0.005002503,0.0004443586,0.03594648,0.0016298,0.9359054,0.003361213],"study_design_scores_gemma":[0.01161674,0.002516843,0.0004005109,0.005761077,0.00218095,0.0002609085,0.00483752,0.0008550953,0.005677982,0.0005868567,0.9574888,0.007816691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1208114,0.1174667,0.01360445,0.009155923,0.04034111,0.04206638,0.02508594,0.01224679,0.6192213],"genre_scores_gemma":[0.09598193,0.01172088,0.004340073,0.0009688719,0.00552131,0.001914174,0.003156333,0.01344055,0.8629559],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.35652,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154794794534425,"score_gpt":0.2531196527072174,"score_spread":0.2215717047618732,"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."}}