{"id":"W4247187531","doi":"10.1002/gea.21577","title":"Issue Information","year":2016,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003637408,0.000232705,0.0006718992,0.0004846203,0.0001173223,0.00003118977,0.0004242915,0.0003464939,0.321689],"category_scores_gemma":[0.00007199788,0.0002301043,0.0001491024,0.00008979727,0.0005493464,0.0003405157,0.0004575524,0.0001775765,0.9436468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174768,"about_ca_system_score_gemma":0.00003298467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002922889,"about_ca_topic_score_gemma":0.00001264343,"domain_scores_codex":[0.998334,0.00001169693,0.0007011874,0.0004305898,0.00002384962,0.0004986991],"domain_scores_gemma":[0.9988473,0.00004713811,0.0005504339,0.0004390833,0.00004047275,0.00007558455],"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":[0.000007194541,0.000005497027,0.00008041075,0.00003655294,0.00007327362,6.565335e-7,0.0006341354,0.000004813022,9.534713e-8,0.05692711,0.9405071,0.001723237],"study_design_scores_gemma":[0.0003412828,0.00003008273,0.00005385781,0.00001343421,0.000003774084,0.000003088075,0.00009509357,0.00001310089,0.000003263686,0.00770877,0.9914546,0.0002796259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005145982,0.002645629,0.001287335,0.001803487,0.03544289,0.0001828979,0.003854143,0.00002644663,0.9547057],"genre_scores_gemma":[0.0004536994,0.002064044,0.0001594588,0.0009162786,0.0007101616,0.00004785408,0.0002581239,0.00001616689,0.9953742],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6219579,"threshold_uncertainty_score":0.9383381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140663533262592,"score_gpt":0.2128960815957211,"score_spread":0.1914894462630952,"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."}}