{"id":"W4251976276","doi":"10.1109/iwmn.2019.8804988","title":"M&N 2019 TOC","year":2019,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Scuola Superiore Sant'Anna; Università Politecnica delle Marche; Università di Catania; University of Toronto","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007510236,0.0007451628,0.0005971358,0.002512714,0.001959201,0.004616458,0.001140091,0.002235764,0.6513888],"category_scores_gemma":[0.003677129,0.0005228434,0.0005174576,0.001499252,0.0007973858,0.001720211,0.001935337,0.001776122,0.5091014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003491949,"about_ca_system_score_gemma":0.004320081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735967,"about_ca_topic_score_gemma":0.03841714,"domain_scores_codex":[0.999388,0.00005589364,0.00003033837,0.0001025458,0.000305229,0.0001179502],"domain_scores_gemma":[0.9982694,0.0001845624,0.0001144126,0.0001314984,0.0008443143,0.0004557585],"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":[0.00006907488,0.00002002219,0.0001652349,0.00008913355,0.000003072975,0.00002748112,0.00001075665,0.00005239232,0.0001115296,0.003764642,0.9507177,0.04496899],"study_design_scores_gemma":[0.00001090787,0.000009041796,0.0004284609,0.00007447831,0.000001580255,0.00001857446,0.00001622134,0.00005456683,0.0000909001,0.001136117,0.9981559,0.000003217394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005585251,0.001572407,0.0005040722,0.006283412,0.005647256,0.0001185157,0.01341116,0.0006582127,0.9712464],"genre_scores_gemma":[0.001503891,0.0005333762,0.0003180925,0.001250812,0.0004673495,0.00005473786,0.002564729,0.0002247767,0.9930823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3486112,"threshold_uncertainty_score":0.4972516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180712288087324,"score_gpt":0.1965138322606683,"score_spread":0.1547067093797951,"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."}}