{"id":"W4382363913","doi":"10.1525/aft.2023.50.2.24","title":"Terra Analytica","year":2023,"lang":"en","type":"article","venue":"Afterimage","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008512729,0.00005085575,0.00005808099,0.000016486,0.00004455872,0.00002505564,0.0001197476,0.00001823898,0.008272656],"category_scores_gemma":[0.000002692147,0.00003848972,0.00002543849,0.0002142198,0.00000784727,0.0001374996,0.0001325488,0.00002233527,0.02945618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000157195,"about_ca_system_score_gemma":0.000001137134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268087,"about_ca_topic_score_gemma":0.0001423328,"domain_scores_codex":[0.9995201,0.000009565584,0.00007079478,0.0001336951,0.00009858612,0.0001672613],"domain_scores_gemma":[0.9997666,0.0000089755,0.00001388784,0.000161225,9.268335e-7,0.00004836297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000465186,0.0001046144,0.7326298,0.00009920324,0.00004756375,0.0004920706,0.001749647,0.0003102186,0.05462754,0.00004626847,0.1839473,0.02589927],"study_design_scores_gemma":[0.0002009573,0.0000375548,0.8670351,0.00001204272,0.00001150548,0.000006373056,0.00008260189,0.00593987,0.001894748,0.0003549611,0.1242195,0.0002048595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925723,0.000003121178,0.000008305446,0.0003080272,0.00007114416,0.00003818146,0.000003654531,0.0001098819,0.07373465],"genre_scores_gemma":[0.9986545,0.000007837576,0.00006952847,0.0002741255,0.00003308661,0.000008513099,0.000006836623,0.000006477929,0.0009390458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344053,"threshold_uncertainty_score":0.9926339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009741715611615435,"score_gpt":0.2235997864674088,"score_spread":0.2138580708557934,"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."}}