{"id":"W4375906487","doi":"10.1353/phx.2021.0044","title":"Index to Volume LXXV","year":2021,"lang":"en","type":"article","venue":"Phoenix","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Volume (thermodynamics); Statistics; Mathematics; Computer science; Thermodynamics; Physics; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004601149,0.001885959,0.001512272,0.005731072,0.001562878,0.005604525,0.001411245,0.001018261,0.8606182],"category_scores_gemma":[0.002309634,0.0004838606,0.0005998634,0.006364644,0.0006589355,0.002512964,0.002514939,0.001396434,0.8156809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417412,"about_ca_system_score_gemma":0.001593301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360946,"about_ca_topic_score_gemma":0.006564473,"domain_scores_codex":[0.9995084,0.00004951384,0.00002476803,0.0001184129,0.0002387927,0.00006018044],"domain_scores_gemma":[0.9989267,0.0001528081,0.00006370246,0.0001430566,0.0003240574,0.0003896276],"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":[0.0000297307,0.00003401847,0.0001325418,0.000145712,0.000004370403,0.00001549892,0.00001197758,0.0000879114,0.0001923292,0.002251616,0.9399606,0.0571336],"study_design_scores_gemma":[0.000009565531,0.00001716312,0.0004339197,0.0001121074,0.000003599335,0.00001889647,0.00002208697,0.00009305276,0.0001374814,0.001340049,0.9978071,0.000005032668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004900568,0.002825114,0.0009319473,0.001641814,0.009378305,0.0001884096,0.00705337,0.001118234,0.9763727],"genre_scores_gemma":[0.0007088018,0.0009379708,0.0001779203,0.0002503844,0.001271385,0.00003335893,0.001398885,0.0002758147,0.9949456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8606182,"threshold_uncertainty_score":0.1988111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0348002036494349,"score_gpt":0.2072071347587632,"score_spread":0.1724069311093283,"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."}}