{"id":"W3155740740","doi":"10.32024/ida.v5i1.p02","title":"STUDIO DEI TREND DI COMPOSTI CLIMALTERANTI PRESSO LA STAZIONE GLOBALE WMO-GAW DI MONTE CIMONE","year":2018,"lang":"it","type":"article","venue":"CINECA IRIS Institutional Research information system (University of Urbino)","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000814492,0.0005828178,0.0004125811,0.002647361,0.0003523121,0.002836264,0.0004522723,0.000746836,0.01640585],"category_scores_gemma":[0.001525577,0.000252704,0.0004217435,0.005432645,0.0004966957,0.001213476,0.0007278767,0.0008669106,0.003552892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375259,"about_ca_system_score_gemma":0.001293548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03113854,"about_ca_topic_score_gemma":0.03319944,"domain_scores_codex":[0.9995756,0.00003602911,0.00001660476,0.0001938661,0.0001121064,0.00006590881],"domain_scores_gemma":[0.9990909,0.0000880434,0.0002805602,0.0001265677,0.0002842065,0.0001296804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005960803,0.0001107454,0.3411077,0.001668911,0.0005716055,0.0003370437,0.001397258,0.004166937,0.008819693,0.03951351,0.2487956,0.352915],"study_design_scores_gemma":[0.00002099951,0.00003208441,0.4515437,0.0001535295,0.00005845555,0.0001397838,0.0002520283,0.001736328,0.0007732346,0.001891616,0.5433723,0.00002581944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4569244,0.04773039,0.02061519,0.04723297,0.003885757,0.000295081,0.1853036,0.005570237,0.2324425],"genre_scores_gemma":[0.8350099,0.01138297,0.01670276,0.002522841,0.002698213,0.0002970995,0.04074733,0.001421805,0.08921706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03113854,"threshold_uncertainty_score":0.06191456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578113168942529,"score_gpt":0.3011370461200863,"score_spread":0.235355914430661,"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."}}