{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107372,0.0001969193,0.0002167275,0.001815214,0.0007213212,0.0008962153,0.0005148815,0.0002697501,0.006812983],"category_scores_gemma":[0.001372987,0.0002035768,0.0001937727,0.003364169,0.0004625745,0.0006535635,0.0006620784,0.0004325086,0.001374117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248787,"about_ca_system_score_gemma":0.002136514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6715483,"about_ca_topic_score_gemma":0.837638,"domain_scores_codex":[0.999175,0.00009167317,0.00004882246,0.00007191168,0.0004602156,0.0001522525],"domain_scores_gemma":[0.9984834,0.000158214,0.0002611393,0.00006941573,0.000790087,0.0002377463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002738977,0.0000584392,0.936628,0.0001784263,0.00003835348,0.0001313922,0.0008599178,0.0002189177,0.0001908142,0.0006513563,0.01841321,0.04260369],"study_design_scores_gemma":[0.000002293124,0.00002634324,0.9830884,0.00007447787,0.00002104456,0.0002498933,0.001563063,0.00009122417,0.0001000655,0.00008665791,0.01468962,0.000006962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6630678,0.009263644,0.0007866569,0.00253048,0.0002115914,0.0003024113,0.1108698,0.000126393,0.2128413],"genre_scores_gemma":[0.9305105,0.009458735,0.0008016323,0.0003282031,0.0001268158,0.0001226796,0.02951927,0.00001596174,0.02911614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6715483,"threshold_uncertainty_score":0.660772,"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."}}