{"id":"W6968795348","doi":"10.5281/zenodo.8275470","title":"STRUMENTI INNOVATIVI PER LA VITICOLTURA BASATI SULL'INTEGRAZIONE DI DATI OTTENUTI DA OSSERVAZIONE TERRESTRE E DA SENSORI DI PROSSIMITÀ (PROGETTO VITIGEOSS)","year":2023,"lang":"it","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"Horizon 2020 Framework Programme","keywords":"Context (archaeology); Emergency relief","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005648373,0.001283056,0.00147037,0.002490269,0.001057344,0.007333462,0.002713599,0.002255595,0.009868206],"category_scores_gemma":[0.004105718,0.001082716,0.001681044,0.003384531,0.001622571,0.004211158,0.00284869,0.002838518,0.003849908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147942,"about_ca_system_score_gemma":0.002897722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008807624,"about_ca_topic_score_gemma":0.01351794,"domain_scores_codex":[0.9974862,0.000470259,0.0001158312,0.0008983104,0.0008806298,0.0001487708],"domain_scores_gemma":[0.9965163,0.0009971136,0.0003410099,0.0007969191,0.001211946,0.0001365542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003203069,0.0002719763,0.02135275,0.005127455,0.0004025988,0.0002765532,0.001024281,0.01807989,0.2771169,0.01822218,0.00610231,0.6517029],"study_design_scores_gemma":[0.00008593161,0.001151135,0.0427592,0.001899233,0.0007453327,0.001053352,0.001491203,0.03926121,0.3179697,0.02100056,0.5721661,0.0004170486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1596356,0.09948628,0.6280718,0.01000829,0.002617579,0.001221528,0.004900656,0.00548904,0.08856915],"genre_scores_gemma":[0.4863016,0.0610943,0.3975854,0.002383506,0.0006484947,0.0007258469,0.003640143,0.001275928,0.0463448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009868206,"threshold_uncertainty_score":0.03301245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644544736054704,"score_gpt":0.27897859128683,"score_spread":0.2145241176813596,"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."}}