{"id":"W7016136451","doi":"","title":"13x 01 Italiane Con La Valigia Alessia, Montreal","year":2015,"lang":"it","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); State (computer science)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004919061,0.001115532,0.0006441563,0.001803771,0.002928475,0.005853203,0.0008198688,0.001778666,0.763152],"category_scores_gemma":[0.00176753,0.0004460393,0.0005071831,0.002912993,0.0009700463,0.002041691,0.002345144,0.001837545,0.5320919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005024448,"about_ca_system_score_gemma":0.005581341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2184321,"about_ca_topic_score_gemma":0.4030063,"domain_scores_codex":[0.9994313,0.00004233068,0.00001539947,0.0001217735,0.0002240214,0.0001652381],"domain_scores_gemma":[0.9986807,0.0001323314,0.00007168299,0.0001598556,0.0004769261,0.0004785682],"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":[0.00001573384,0.00001323272,0.000224096,0.00007114834,0.000001871367,0.0000528608,0.0000752105,0.00001678092,0.0001958141,0.001973958,0.9761213,0.02123799],"study_design_scores_gemma":[0.000001884984,0.00000245543,0.0006107857,0.00003478153,7.696401e-7,0.00001392686,0.00003194738,0.000008842125,0.0000261988,0.00005810934,0.999208,0.000002288992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004420795,0.002483346,0.0001716178,0.003726443,0.001935781,0.00007548695,0.004946377,0.0008697909,0.9853491],"genre_scores_gemma":[0.001253307,0.0005908612,0.00008885171,0.0003506688,0.0002392738,0.00001829876,0.0008492456,0.0002866566,0.9963229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.236848,"threshold_uncertainty_score":0.4343214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008004035193096233,"score_gpt":0.1994497418706741,"score_spread":0.1914457066775778,"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."}}