{"id":"W7038433368","doi":"","title":"Genova anche per noi","year":2021,"lang":"it","type":"article","venue":"CINECA IRIS Institutional Research information system (University of Urbino)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sign (mathematics); Field (mathematics); Quarter (Canadian coin)","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":[0.002651484,0.0005091625,0.000647555,0.001959037,0.005444282,0.005182792,0.0009584529,0.002235554,0.09043167],"category_scores_gemma":[0.009866741,0.0003442322,0.0005157096,0.002374905,0.002132214,0.002146035,0.005213153,0.003656909,0.03039196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004056611,"about_ca_system_score_gemma":0.004348786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194199,"about_ca_topic_score_gemma":0.03894551,"domain_scores_codex":[0.9968497,0.0006005205,0.0001370722,0.0008062051,0.0009809348,0.0006255368],"domain_scores_gemma":[0.9949113,0.0009689978,0.0005112574,0.001133385,0.001639398,0.0008356717],"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":[0.0007570222,0.0001418632,0.03335513,0.0005871702,0.00008200101,0.002264452,0.01505216,0.0002625927,0.004872942,0.2242569,0.5023275,0.2160403],"study_design_scores_gemma":[0.000007961508,0.00003335772,0.009049659,0.00009039618,0.000008761209,0.0002342095,0.001297796,0.00004476318,0.0004771383,0.003330501,0.9854099,0.0000155423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05180274,0.004121475,0.003633785,0.03666371,0.008630118,0.0004538816,0.006461959,0.0006884641,0.8875439],"genre_scores_gemma":[0.1788111,0.001498612,0.003508098,0.009554133,0.001343769,0.0003652245,0.003496108,0.0007786185,0.8006443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09043167,"threshold_uncertainty_score":0.302524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06606376088550171,"score_gpt":0.2594308957998366,"score_spread":0.1933671349143349,"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."}}