{"id":"W2117965982","doi":"10.1111/j.1744-7976.2008.00125.x","title":"Predicting the Effect of Land‐Use Policies on Wildlife Habitat Abundance","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat conservation; Geography; Habitat; Wildlife; Forestry; Ecology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007425918,0.0003368153,0.000881368,0.0003303663,0.0003951317,0.00009478987,0.0005996643,0.0001485674,0.0001929443],"category_scores_gemma":[0.000260276,0.0002685225,0.0004080498,0.000117023,0.0003262908,0.0007916226,0.00002770309,0.0003503549,0.0001535394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015824,"about_ca_system_score_gemma":0.0001627761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04299667,"about_ca_topic_score_gemma":0.2401405,"domain_scores_codex":[0.997482,0.00004921231,0.001453677,0.0003616525,0.00001177063,0.00064171],"domain_scores_gemma":[0.996982,0.0003204485,0.001598359,0.0003538538,0.00004342172,0.0007019092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003949991,0.000009617331,0.9701097,0.00002110351,0.0001753324,0.00001126923,0.001235773,0.0159975,0.000006169455,0.009658765,0.002603896,0.0001313812],"study_design_scores_gemma":[0.0009653941,0.0009462657,0.9876955,0.00005948737,0.00003172921,0.0004006489,0.0003101289,0.0002307225,0.0001319646,0.0007529903,0.008112903,0.0003623159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931496,0.0005265137,0.000004903916,0.002346757,0.00142636,0.0003068839,0.0003920168,0.000006948133,0.001840048],"genre_scores_gemma":[0.9978097,0.0002602067,0.00005325031,0.0005223662,0.0005506093,0.00001359729,0.00003000638,0.00003199217,0.0007282384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1971438,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05208779655067299,"score_gpt":0.1623540158818914,"score_spread":0.1102662193312184,"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."}}