{"id":"W4232403814","doi":"10.1002/gea.21602","title":"Issue Information","year":2017,"lang":"en","type":"paratext","venue":"Geoarchaeology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library 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":[0.001241196,0.001521219,0.001564719,0.003694097,0.001657383,0.009028863,0.002178338,0.002407036,0.9285873],"category_scores_gemma":[0.009123705,0.0005963205,0.0009536216,0.004445705,0.0004736283,0.005565336,0.002522702,0.002238227,0.8992288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624099,"about_ca_system_score_gemma":0.00276533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990877,"about_ca_topic_score_gemma":0.004603609,"domain_scores_codex":[0.9988226,0.0001301488,0.0001036547,0.0001822666,0.0006152769,0.0001460167],"domain_scores_gemma":[0.9944084,0.0006524185,0.0002388042,0.0005791863,0.002661318,0.001459972],"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":[0.000009827185,0.000009138741,0.00002697122,0.00009274395,9.064791e-7,0.000006658353,0.000004863343,0.00001411804,0.00002873934,0.00053034,0.9848903,0.01438545],"study_design_scores_gemma":[0.000008567617,0.000007079993,0.0001255474,0.00009032228,0.000001086807,0.00001572835,0.00001761324,0.00001872154,0.00003396721,0.0004946522,0.9991837,0.000002984194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002228349,0.001501539,0.0008582994,0.005044667,0.01700578,0.00053374,0.05435909,0.002917462,0.9175565],"genre_scores_gemma":[0.00093856,0.001362887,0.0004436169,0.002338065,0.002981156,0.0001893626,0.02529023,0.00106783,0.9653884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07141268,"threshold_uncertainty_score":0.1018614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166982981779861,"score_gpt":0.232887637712961,"score_spread":0.2012178078951624,"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."}}