{"id":"W2082169938","doi":"10.1016/j.jenvman.2008.12.019","title":"Compensating aboriginal cultural losses: An alternative approach to assessing environmental damages","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University; University of Victoria","funders":"","keywords":"Damages; Compensation (psychology); Neglect; Context (archaeology); Risk analysis (engineering); Environmental planning; Best practice; Environmental resource management; Management science; Business; Public economics; Engineering; Economics; Political science; Geography; Psychology; Social psychology; Law","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006179866,0.0002617564,0.0004101612,0.0002344241,0.0001667082,0.0001745992,0.0004043038,0.00005551036,0.0003955822],"category_scores_gemma":[0.000003693711,0.0002775649,0.0001525995,0.00006466099,0.00008027479,0.001439684,0.00007620971,0.0002064119,0.0002993399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008057083,"about_ca_system_score_gemma":0.000003152733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008166052,"about_ca_topic_score_gemma":2.675615e-7,"domain_scores_codex":[0.9981352,0.0000401381,0.0009307473,0.0004127736,0.0001623586,0.0003187903],"domain_scores_gemma":[0.9987292,0.00001277761,0.0007802874,0.0002595754,0.000002040025,0.0002161429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003758896,0.01297393,0.6372043,0.0001313428,0.001378913,0.0002894928,0.01452611,0.1034064,0.01886602,0.1002087,0.002054266,0.1085846],"study_design_scores_gemma":[0.001364279,0.0006267189,0.9800143,0.00002789249,0.00004946414,0.00005962771,0.005410534,0.002353061,0.0003025762,0.003504615,0.005806898,0.0004800202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709716,0.0003526998,0.008082402,0.0001791689,0.000245584,0.0002916035,0.00004430287,0.00001011401,0.0198225],"genre_scores_gemma":[0.9762537,0.0003076202,0.02204864,0.0006474526,0.0002246493,0.000006059169,0.00003697517,0.00002352491,0.000451393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3428099,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06157389606768262,"score_gpt":0.2618747161611104,"score_spread":0.2003008200934278,"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."}}