{"id":"W2388313135","doi":"","title":"Estimation of terrestrial net primary production and its temporal-spatial distribution in Henan Province based on GIS and RS","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary production; Environmental science; Shrub; Spatial distribution; Vegetation (pathology); Grassland; Physical geography; Forestry; Geography; Remote sensing; Ecosystem; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001913995,0.00006724628,0.00009477126,0.00004584674,0.00003741204,0.00001315674,0.00002237316,0.00004220666,0.0000255337],"category_scores_gemma":[0.00007271308,0.0000482098,0.000008882252,0.00006490725,0.0000332753,0.00012756,0.000002568924,0.00005321798,0.0000018641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003323078,"about_ca_system_score_gemma":0.00003776207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008736106,"about_ca_topic_score_gemma":0.005377267,"domain_scores_codex":[0.9994488,0.00005547579,0.0001418468,0.0001641118,0.0001014101,0.00008837059],"domain_scores_gemma":[0.9998018,0.00002601814,0.00005978203,0.00006581859,0.000008343908,0.00003829822],"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":[0.001144234,0.00008769792,0.4088963,0.00009334563,0.000005086227,0.000008208698,0.0003625894,0.005351974,0.0001257348,0.00001548816,0.0002255907,0.5836838],"study_design_scores_gemma":[0.0002674868,0.0002319592,0.6772346,0.00003699574,0.000004099596,0.000002726525,0.00001108471,0.3212904,0.0007801721,0.00005379753,0.00003004532,0.00005654931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982072,0.00002678077,0.0003094869,0.0001135085,0.0001320146,0.000198574,0.00001990818,0.00001602808,0.0009765679],"genre_scores_gemma":[0.9991336,0.00001173423,0.0005369508,0.00001852138,0.00003133508,1.097172e-7,0.0002353797,0.00000122442,0.00003109748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5836272,"threshold_uncertainty_score":0.9978648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177313491205182,"score_gpt":0.1958786469224408,"score_spread":0.1781472978019226,"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."}}