{"id":"W4252107903","doi":"10.1002/crso.20011","title":"Complete Issue","year":2020,"lang":"en","type":"article","venue":"Crops & Soils","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Western Grains Research Foundation","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001828732,0.001059959,0.001085447,0.001589923,0.001970052,0.005992295,0.001515321,0.00367078,0.8221],"category_scores_gemma":[0.008544787,0.0005861517,0.001090802,0.0007160628,0.0004306365,0.002206708,0.002398678,0.003246353,0.7640668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009300534,"about_ca_system_score_gemma":0.002615893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511272,"about_ca_topic_score_gemma":0.006159369,"domain_scores_codex":[0.9990938,0.0001083959,0.0000432258,0.0001014378,0.000525539,0.0001276242],"domain_scores_gemma":[0.9928858,0.0007618001,0.0002132272,0.000556311,0.003141533,0.00244139],"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":[0.00002660464,0.00002873406,0.00003252452,0.00002275294,0.000001113048,0.000007785066,0.000002065326,0.000009550278,0.0000341216,0.0001643604,0.9886935,0.01097672],"study_design_scores_gemma":[0.00005577458,0.0000343749,0.0003492761,0.00004140441,0.000003109963,0.00001422735,0.00001509931,0.00004949225,0.00008151974,0.0004236558,0.9989257,0.000006275472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009411622,0.001803076,0.001852896,0.03560008,0.1362702,0.001422884,0.01294951,0.003983235,0.805177],"genre_scores_gemma":[0.0008355571,0.0003252263,0.0003660288,0.004279001,0.006912592,0.00019612,0.002390306,0.0005578168,0.9841374],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1779,"threshold_uncertainty_score":0.2537526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2385407607006315,"score_gpt":0.383661577414836,"score_spread":0.1451208167142045,"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."}}