{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001389155,0.001532293,0.001620502,0.005320102,0.001894846,0.007217123,0.00193278,0.002270178,0.9266204],"category_scores_gemma":[0.00911915,0.0006907452,0.000923628,0.005335712,0.0005193219,0.003351511,0.00224474,0.00200065,0.9137477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181822,"about_ca_system_score_gemma":0.003557713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008514982,"about_ca_topic_score_gemma":0.01521646,"domain_scores_codex":[0.9985757,0.0001447322,0.00008870832,0.0001471131,0.0008874169,0.000156376],"domain_scores_gemma":[0.9947338,0.0007574036,0.0001738943,0.0004779176,0.002786764,0.001070252],"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":[0.000009052261,0.000009725264,0.00002199705,0.00005792444,6.323376e-7,0.00000562006,0.000005135265,0.00001786741,0.00003287756,0.0005275353,0.9876594,0.01165222],"study_design_scores_gemma":[0.00001550419,0.00001024184,0.0002586143,0.00007404803,0.000001439585,0.00001250529,0.00002233185,0.00005950743,0.00005281402,0.0008849434,0.998602,0.000006127494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001719729,0.0003699191,0.0007147451,0.002005158,0.006057137,0.0003549063,0.0383267,0.002591704,0.9494079],"genre_scores_gemma":[0.0003633053,0.0002118092,0.00033345,0.0007295814,0.0005790062,0.0001135939,0.01163643,0.0007379196,0.9852949],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07337964,"threshold_uncertainty_score":0.1046671,"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."}}