{"id":"W4411533681","doi":"10.1163/15685268-02601000","title":"Front matter","year":2024,"lang":"ht","type":"paratext","venue":"NAN Nü","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0003918227,0.001121672,0.001110035,0.0006316003,0.0001273711,0.0006448404,0.0009227838,0.001290889,0.6258023],"category_scores_gemma":[0.00002170901,0.001070439,0.0006050423,0.000427818,0.0002091637,0.000125672,0.0005366448,0.00215302,0.9996304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008178,"about_ca_system_score_gemma":0.0005344462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002735589,"about_ca_topic_score_gemma":0.00004491556,"domain_scores_codex":[0.995286,0.0002558687,0.0007857793,0.00154813,0.0009263952,0.001197848],"domain_scores_gemma":[0.9976164,0.00007202607,0.0003033212,0.001521287,0.00014807,0.0003389639],"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":[0.00006004207,0.00009814984,0.00008544269,0.0009646642,0.0005133006,0.000286496,0.0007991578,0.00001368232,0.001214812,0.00003237116,0.9954227,0.0005091946],"study_design_scores_gemma":[0.0003569651,0.00006321628,0.0004141443,0.001590793,0.0005519866,0.00005906482,0.00005965875,0.00007406718,0.0005823116,0.0001154665,0.9949874,0.001144937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002082421,0.04339623,0.00001433366,0.0008961064,0.02059404,0.0007834777,0.007425509,0.0002247575,0.9245831],"genre_scores_gemma":[0.008850475,0.0002049004,0.000153224,0.001136783,0.004314187,0.0001011754,0.001368305,0.001251803,0.9826192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3738281,"threshold_uncertainty_score":0.9991746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543122273584025,"score_gpt":0.2829405362786339,"score_spread":0.2675093135427937,"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."}}