{"id":"W2413036640","doi":"10.5539/enrr.v6n2p136","title":"Modeling the Geographic Distribution of Prosopis africana (G. and Perr.) Taub. in Niger","year":2016,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overexploitation; Reforestation; Geography; Distribution (mathematics); Forestry; Environmental protection; Ecology; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351199,0.00007191897,0.0001082443,0.00001689807,0.0003093885,0.00001323074,0.0001159933,0.0000529118,0.00003562165],"category_scores_gemma":[0.00008564917,0.00001916463,0.00002459253,0.0001501484,0.0006040496,0.000053053,0.0002101868,0.0001573407,0.000002226442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297734,"about_ca_system_score_gemma":0.000001331186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071333,"about_ca_topic_score_gemma":0.000341849,"domain_scores_codex":[0.999009,0.0001487968,0.0001225104,0.0002060649,0.0002401796,0.0002734428],"domain_scores_gemma":[0.9994653,0.0004186467,0.00002200461,0.0000408888,0.00001247133,0.00004070024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001251475,0.00005096785,0.8850566,0.000006722621,0.00002038545,0.00000312954,0.0007232628,0.000008107815,0.04867287,0.0001493473,0.00006274876,0.06512068],"study_design_scores_gemma":[0.0001288279,0.0001577365,0.9918569,0.00001732366,0.000003047791,0.000001285755,0.001503021,0.0004489422,0.0001139966,0.0005189148,0.005180613,0.00006939836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913363,0.003889856,8.334996e-7,0.004545051,0.000008215434,0.000159333,0.00001256845,0.00000405465,0.00004371864],"genre_scores_gemma":[0.9970981,0.002447673,0.000002987027,0.00001152671,0.00003475033,0.00002021199,0.000002661657,5.077817e-7,0.0003816177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068003,"threshold_uncertainty_score":0.2379597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611774157038692,"score_gpt":0.2411580324958822,"score_spread":0.2150402909254953,"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."}}