{"id":"W4388459726","doi":"10.1111/ntwe.12250","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"New Technology Work and Employment","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","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":[0.0009204487,0.001376639,0.001098648,0.003061524,0.001777505,0.007212007,0.001672018,0.002280874,0.9158089],"category_scores_gemma":[0.005179919,0.00053514,0.0007161857,0.003283642,0.0005053935,0.004097311,0.002251816,0.002071052,0.8733267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318863,"about_ca_system_score_gemma":0.002449059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168635,"about_ca_topic_score_gemma":0.005991494,"domain_scores_codex":[0.9990583,0.00008857412,0.00007440048,0.0001829352,0.000472579,0.0001232122],"domain_scores_gemma":[0.9969747,0.0003500149,0.0001610745,0.0003715258,0.001341328,0.0008013276],"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":[0.00001047187,0.00001053684,0.00004041102,0.0001032463,8.917576e-7,0.00001469167,0.00001289047,0.00001144341,0.00007831789,0.00111587,0.9739472,0.02465408],"study_design_scores_gemma":[0.000002902295,0.000003591705,0.0001114964,0.00004739023,5.021174e-7,0.0000155633,0.00001824119,0.000009794359,0.00002777725,0.0002711864,0.9994898,0.000001685297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001419405,0.0007077889,0.0004488549,0.002113068,0.006109327,0.0002477527,0.01757107,0.00128658,0.9713736],"genre_scores_gemma":[0.000889903,0.0007488959,0.0003651573,0.001330416,0.001093948,0.0001047511,0.009354822,0.0005510044,0.9855611],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08419108,"threshold_uncertainty_score":0.1200883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626069045973544,"score_gpt":0.3369414744891778,"score_spread":0.3106807840294423,"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."}}