{"id":"W4412621578","doi":"10.59350/6myw1-1bq57","title":"PKP Fall Sprint 2016 – Fredericton","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sprint; Aeronautics; Environmental science; Geography; Oceanography; Meteorology; Geology; Computer science; Engineering","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":[0.004096323,0.0009321008,0.0005697138,0.001015914,0.00467635,0.008245724,0.001546151,0.002375369,0.1643425],"category_scores_gemma":[0.006667905,0.0003881166,0.0004714471,0.001036353,0.001600653,0.002937078,0.004407016,0.003589684,0.05660815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008462203,"about_ca_system_score_gemma":0.01506776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070504,"about_ca_topic_score_gemma":0.2377554,"domain_scores_codex":[0.9981268,0.0001585671,0.00005186733,0.0003877967,0.0008939673,0.0003809929],"domain_scores_gemma":[0.9953423,0.0003006071,0.00008585794,0.0004597743,0.001348743,0.002462795],"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":[0.0001199353,0.00004028248,0.0002870258,0.00003227377,0.000005367561,0.0001132681,0.00009449521,0.0001038737,0.0002071909,0.003422491,0.9810537,0.01452016],"study_design_scores_gemma":[0.00001458893,0.00002321978,0.001209878,0.00004527163,0.00000186348,0.00003287058,0.0002225725,0.0001742479,0.0002302493,0.001536628,0.9965011,0.000007459799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02266166,0.006658811,0.007373778,0.1559574,0.05257733,0.0006304302,0.02432997,0.004799451,0.7250112],"genre_scores_gemma":[0.03346923,0.001914559,0.003352767,0.004693763,0.001820412,0.0001722589,0.0103166,0.0007444051,0.943516],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8356575,"threshold_uncertainty_score":0.5497804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197000084586773,"score_gpt":0.4141673071564737,"score_spread":0.2944672986977964,"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."}}