{"id":"W2936692610","doi":"10.1017/s0959270918000333","title":"Assessments of Maleo <i>Macrocephalon maleo</i> nesting grounds in South-east Sulawesi reveal severely threatened populations","year":2019,"lang":"en","type":"article","venue":"Bird Conservation International","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Lembaga Ilmu Pengetahuan Indonesia","keywords":"Threatened species; Geography; Endangered species; Wildlife; Overexploitation; Grassroots; Population; Deforestation (computer science); Nesting (process); Ecology; Habitat; Biology; Demography; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003937581,0.0001614833,0.0001881033,0.0001323043,0.00008262603,0.00003429883,0.0003127485,0.0001314105,0.001877609],"category_scores_gemma":[0.00009389208,0.0001798538,0.00006369424,0.0003897252,0.00008868219,0.0007007939,0.000128226,0.0001517083,0.0004216409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002126779,"about_ca_system_score_gemma":0.00005452325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009460514,"about_ca_topic_score_gemma":0.001305348,"domain_scores_codex":[0.9983151,0.0000903819,0.0005888738,0.0003621038,0.0004245558,0.0002189774],"domain_scores_gemma":[0.9991938,0.00009517239,0.0003751557,0.0002081097,0.00008022816,0.00004751747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001035715,0.00008934684,0.993536,0.000009196928,0.00001712426,0.000003336338,0.0002018623,0.001141119,0.001227611,0.0028723,0.0004142719,0.0003842785],"study_design_scores_gemma":[0.0008871892,0.00004703271,0.9839526,0.00004397482,0.00001046111,0.00001216349,0.0001135924,0.01257811,0.00006398926,0.001727822,0.0003937787,0.0001693184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882461,0.000005775328,0.0007509882,0.001907497,0.0005964385,0.0003061693,0.00002005754,0.00006531895,0.008101609],"genre_scores_gemma":[0.9923085,0.00000184369,0.00313269,0.001239306,0.00004829985,0.00004274061,0.0001085722,0.00002161768,0.003096454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143699,"threshold_uncertainty_score":0.9990348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102314609460127,"score_gpt":0.2728682106185117,"score_spread":0.2418450645239105,"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."}}