{"id":"W4238104917","doi":"10.4095/300964","title":"Presence of Humans in Forests - Population Density","year":2010,"lang":"en","type":"report","venue":"","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population density; Geography; Population; Forestry; Demography; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000482714,0.0001196452,0.000259464,0.00005559915,0.00007340994,0.000005137689,0.0001564995,0.0002941275,0.0009926438],"category_scores_gemma":[0.0003862038,0.000100414,0.0000649908,0.0002091459,0.0002407226,0.00007076126,0.0001822585,0.0002545971,0.00002045153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007473991,"about_ca_system_score_gemma":0.0000247931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09960048,"about_ca_topic_score_gemma":0.8143107,"domain_scores_codex":[0.9988093,0.00003084717,0.0003383975,0.0002770768,0.0003795325,0.0001648623],"domain_scores_gemma":[0.9994246,0.0001044421,0.0001827928,0.0002212238,0.00003498477,0.00003199344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002283037,0.00003836038,0.9954946,0.00001982964,0.000005624362,0.000001681816,0.00003261472,0.00002426359,0.00002490637,0.00005140566,0.003439615,0.0008648142],"study_design_scores_gemma":[0.00005603658,0.00002051687,0.9904336,0.00001508007,0.00001023943,0.00000129157,0.000007758419,0.00002853693,0.00001706456,0.003574008,0.005731999,0.0001038082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440914,0.00004085742,0.00002511591,0.0001158867,0.0002778983,0.0002258442,0.000003749153,0.00001581197,0.05520342],"genre_scores_gemma":[0.9955876,0.0002428592,0.0003006399,0.00003180066,0.00003271529,0.00001582422,0.00002934213,0.000005935901,0.003753217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7147102,"threshold_uncertainty_score":0.9999206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477652001745295,"score_gpt":0.2804501037591789,"score_spread":0.255673583741726,"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."}}