{"id":"W4238572177","doi":"10.1002/gea.21689","title":"Issue Information","year":2019,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003535343,0.0002365017,0.0007653139,0.0004990365,0.00008957784,0.00003974284,0.0004384599,0.0003740827,0.2610085],"category_scores_gemma":[0.00005293187,0.0002821578,0.0001587016,0.000116857,0.0003500462,0.000320326,0.0004844519,0.0002710131,0.9682244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076059,"about_ca_system_score_gemma":0.0000397581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005538768,"about_ca_topic_score_gemma":0.00001272313,"domain_scores_codex":[0.9983541,0.00001105034,0.0006939237,0.0004484275,0.00002530338,0.0004671742],"domain_scores_gemma":[0.9988045,0.00004084462,0.0005624772,0.0004949971,0.00003829598,0.00005890687],"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":[0.000007047244,0.000007028385,0.0001593167,0.00006611787,0.00008019671,4.294815e-7,0.0009988256,0.0001138408,4.661602e-8,0.03907089,0.9589806,0.0005157246],"study_design_scores_gemma":[0.0003197469,0.00003880677,0.0000836389,0.000009074281,0.000004066726,0.000002701883,0.0002159007,0.0001197837,0.000001620021,0.002339349,0.9965722,0.0002931015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001113349,0.003010511,0.0005893036,0.0007937156,0.05545663,0.0002607152,0.002558909,0.00002183545,0.937197],"genre_scores_gemma":[0.0008911758,0.001183488,0.0001608896,0.001167866,0.0004400046,0.00003316543,0.0006475914,0.00001694887,0.9954588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7072159,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180470989668722,"score_gpt":0.2116259438935997,"score_spread":0.1898212339969125,"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."}}