{"id":"W2587698103","doi":"10.5751/es-08931-220120","title":"A distribution analysis of the central Maya lowlands ecoinformation network: its rises, falls, and changes","year":2017,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara; University of Cincinnati; University of Central Florida; Arizona State University","keywords":"Maya; Geography; Distribution (mathematics); Ecology; Archaeology; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333512,0.0001797481,0.0002606694,0.006374141,0.0006705525,0.001442976,0.0005454461,0.0003035719,0.003079009],"category_scores_gemma":[0.004781181,0.0001130434,0.0002806163,0.009749589,0.0005325551,0.001237817,0.001034022,0.0003831948,0.0003589604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00376325,"about_ca_system_score_gemma":0.001812051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3217858,"about_ca_topic_score_gemma":0.3447368,"domain_scores_codex":[0.9994599,0.000128774,0.00004021925,0.00009733899,0.0001847067,0.00008906715],"domain_scores_gemma":[0.9956346,0.0008144344,0.0007191462,0.0002493461,0.002158135,0.0004243596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529532,0.00006327311,0.9068211,0.0001038692,0.0002062914,0.000170273,0.002090443,0.00359735,0.0007377857,0.006367183,0.02249852,0.05719087],"study_design_scores_gemma":[0.000008757474,0.00002759519,0.9610602,0.00005232333,0.00007266772,0.00009278385,0.004125259,0.01161671,0.0003737831,0.001284829,0.02126358,0.00002161205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666527,0.0008352089,0.001881411,0.001856287,0.00003424841,0.00005570173,0.01500656,0.0001140174,0.01356388],"genre_scores_gemma":[0.9893448,0.0001831229,0.00156068,0.00008507059,0.00001811333,0.00002532049,0.007214334,0.00002029694,0.001548234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217858,"threshold_uncertainty_score":0.6398256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434460186502168,"score_gpt":0.2323485918559717,"score_spread":0.21800398999095,"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."}}