{"id":"W4231775048","doi":"10.1111/mila.12154","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Mind & Language","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","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":[0.001205549,0.001915951,0.001526478,0.003670465,0.001936988,0.01023048,0.001980879,0.002711934,0.9422749],"category_scores_gemma":[0.007171889,0.0007166427,0.0010382,0.004267588,0.0005762947,0.006062189,0.002568492,0.002439517,0.9196163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612118,"about_ca_system_score_gemma":0.002232691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296487,"about_ca_topic_score_gemma":0.006001004,"domain_scores_codex":[0.9987936,0.0001235483,0.00009551444,0.0001901787,0.0006473092,0.0001498412],"domain_scores_gemma":[0.995149,0.0006412317,0.000260537,0.0005321821,0.002047042,0.001369979],"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":[0.00001216707,0.00001081881,0.00003109781,0.0000904265,9.803654e-7,0.00000747798,0.000005494835,0.00001195841,0.00003723564,0.000376451,0.9855467,0.01386911],"study_design_scores_gemma":[0.00001234047,0.00001026791,0.0002237968,0.0001031476,0.00000131644,0.0000188807,0.00002333264,0.00002590011,0.00004244093,0.0004097202,0.9991248,0.000004038821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002065115,0.0010163,0.0005026744,0.003232656,0.0115239,0.0003931287,0.036476,0.00251773,0.944131],"genre_scores_gemma":[0.0007196015,0.0007696081,0.0002540704,0.001270629,0.001984476,0.0001029343,0.01458115,0.0008074086,0.9795101],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05772507,"threshold_uncertainty_score":0.08233774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914995494452995,"score_gpt":0.2209944019716675,"score_spread":0.2018444470271375,"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."}}