{"id":"W7104507587","doi":"10.25549/gar-c81-2501","title":"James Matthew Barrie, letter, [no year]-10-10, to Hamlin Garland","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Subject (documents); Exposition (narrative)","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":[],"category_scores_codex":[0.001341973,0.00142652,0.001677002,0.003157713,0.001400594,0.005383222,0.002193941,0.002289624,0.4306971],"category_scores_gemma":[0.01286022,0.0008800065,0.0007802623,0.007409453,0.0004280613,0.004424232,0.00288565,0.002016454,0.6462944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710081,"about_ca_system_score_gemma":0.002156897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04318525,"about_ca_topic_score_gemma":0.1088282,"domain_scores_codex":[0.9989231,0.0001856207,0.0001009089,0.0002761415,0.0003591336,0.0001550944],"domain_scores_gemma":[0.9954684,0.001157448,0.0003103479,0.0006733545,0.001743568,0.0006468474],"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":[0.00000652632,0.000001222267,0.00004134027,0.00002477673,7.830766e-7,0.000001128323,0.000001744244,0.000006351659,0.00000231588,0.00004498448,0.999375,0.0004937138],"study_design_scores_gemma":[0.00003436744,0.000004047228,0.0005137469,0.00008483995,0.000002748107,0.000006988957,0.0000421887,0.00006025165,0.00003338973,0.0003082918,0.9988986,0.00001064014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008788153,0.0002467744,0.0001222085,0.001717843,0.0004323103,0.00002036186,0.9826118,0.001466999,0.01329387],"genre_scores_gemma":[0.0007174953,0.0004336537,0.0003633134,0.001684969,0.0001465533,0.0001388665,0.9580433,0.001153068,0.03731871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4306971,"threshold_uncertainty_score":0.8120415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006391366796831901,"score_gpt":0.1651428247807173,"score_spread":0.1587514579838854,"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."}}