{"id":"W2403475036","doi":"10.11728/cjss2008.05.496","title":"China Space Environment Development","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space (punctuation); China; Development (topology); Mathematics; Geography; Computer science; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0003870801,0.0006572282,0.0002231051,0.000874997,0.001109891,0.001151172,0.0003264143,0.0003333563,0.01088733],"category_scores_gemma":[0.0004913098,0.0001563573,0.0002466603,0.002168915,0.0002582343,0.0004880676,0.0009786558,0.0004622351,0.002225924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249297,"about_ca_system_score_gemma":0.01256947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07187551,"about_ca_topic_score_gemma":0.08090831,"domain_scores_codex":[0.9997277,0.00002311047,0.00001848515,0.00004859364,0.0001189004,0.00006326067],"domain_scores_gemma":[0.9997235,0.00001651121,0.00001870634,0.00004108717,0.0001412991,0.00005883485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000300674,0.0001087158,0.07469655,0.001004495,0.0001332271,0.001237869,0.0008637328,0.003669064,0.01125517,0.0593272,0.2474695,0.5999339],"study_design_scores_gemma":[0.00003167297,0.0001002025,0.1216002,0.00004927267,0.00004192083,0.0002510905,0.0002941694,0.001817379,0.002825339,0.001977659,0.8709832,0.00002795527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2543692,0.01545121,0.01599657,0.01263344,0.002048071,0.0007335113,0.05042538,0.003157437,0.6451852],"genre_scores_gemma":[0.4950531,0.01228911,0.01646377,0.00245079,0.0002327934,0.0006142571,0.04134478,0.0002056644,0.4313458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07187551,"threshold_uncertainty_score":0.1429143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368696133918903,"score_gpt":0.2107106881789407,"score_spread":0.1870237268397517,"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."}}