{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002767,0.00179293,0.001389331,0.003472819,0.001984755,0.01025412,0.001536242,0.002229064,0.9244135],"category_scores_gemma":[0.004853955,0.000759206,0.0009321563,0.003615366,0.000667547,0.005538665,0.002894483,0.002529085,0.910303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016023,"about_ca_system_score_gemma":0.001776754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620634,"about_ca_topic_score_gemma":0.005728842,"domain_scores_codex":[0.9987723,0.0001309885,0.00008964563,0.0001994404,0.0006635524,0.0001440953],"domain_scores_gemma":[0.9971094,0.0003171092,0.0001888346,0.000359007,0.001091087,0.0009345982],"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":[0.00001742415,0.0000156518,0.00003882223,0.00008037413,0.000001230673,0.00001422392,0.000008283959,0.00001338301,0.00005551104,0.0005745146,0.9819241,0.01725633],"study_design_scores_gemma":[0.00001014012,0.000009408914,0.0002006788,0.00006207651,8.918163e-7,0.00002155279,0.00002165044,0.00001938119,0.00003208981,0.000368355,0.9992502,0.000003501543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002149586,0.00108499,0.0003218333,0.002040331,0.01363964,0.0002118047,0.01186015,0.001919371,0.968707],"genre_scores_gemma":[0.0007173794,0.0005250612,0.000198696,0.00124662,0.001844064,0.00005547209,0.006242747,0.0005576464,0.9886124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9244135,"threshold_uncertainty_score":0.107815,"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."}}