{"id":"W4214766164","doi":"10.1002/cjs.11626","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Canadian Journal of Statistics","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Citation; Library science; Object (grammar); World Wide Web; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002745131,0.0001135239,0.000242038,0.0001694493,0.0001936971,0.0000749844,0.0003173864,0.00008139758,0.4655212],"category_scores_gemma":[0.0001539776,0.0001045696,0.00007455517,0.0002042651,0.0001098014,0.0002025215,0.0000262208,0.0004196463,0.01218897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006285783,"about_ca_system_score_gemma":0.000589708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03533232,"about_ca_topic_score_gemma":0.03917566,"domain_scores_codex":[0.9988981,0.00005910136,0.000440884,0.0000651193,0.0003259469,0.0002108845],"domain_scores_gemma":[0.9989587,0.00006373518,0.0003622737,0.0001336978,0.00004047257,0.0004410973],"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":[0.000002755767,0.000003119897,0.0008882376,0.00001493993,0.00002811019,0.00002969265,0.0005314473,0.003901096,1.295025e-7,0.00002377532,0.975163,0.01941371],"study_design_scores_gemma":[0.00008253741,0.00006039138,0.001175629,0.000007058313,0.00005945196,0.00002853831,0.0002830118,0.000135429,6.785011e-7,0.0002154599,0.9978329,0.0001188915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003025616,0.001526702,0.02390365,0.001894885,0.01711047,0.0003195744,0.01774721,0.000006235832,0.9344656],"genre_scores_gemma":[0.0666908,0.002094863,0.02517666,0.009937667,0.002674583,0.00002650948,0.006458274,0.0001433584,0.8867973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4533322,"threshold_uncertainty_score":0.9885802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740001517340105,"score_gpt":0.2012855926419419,"score_spread":0.1938855774685408,"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."}}