{"id":"W4318217798","doi":"10.1093/oxfordhb/9780192848529.013.15","title":"The Analytics of Natural Resource Management","year":2023,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Non-renewable resource; Renewable resource; Natural resource; Stock (firearms); Natural resource economics; Renewable energy; Resource (disambiguation); Environmental economics; Emergy; Analytics; Business; Economics; Computer science; Engineering; Sustainability; Ecology; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007772,0.0004616311,0.0004264243,0.001547532,0.0004545336,0.003881065,0.0005152983,0.000592684,0.009665386],"category_scores_gemma":[0.00431106,0.0001540646,0.0003189924,0.002415219,0.002121515,0.004589709,0.001426383,0.001362249,0.001242018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003562,"about_ca_system_score_gemma":0.000988791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193116,"about_ca_topic_score_gemma":0.001067014,"domain_scores_codex":[0.9994408,0.0001979083,0.00002419553,0.00007872511,0.0002201173,0.00003809513],"domain_scores_gemma":[0.9983799,0.0009244248,0.0001291238,0.0002269645,0.0002673123,0.00007215687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000658695,0.000008610935,0.0004558485,0.00006317948,0.000006640005,0.00004213873,0.0001298179,0.004989888,0.0001317342,0.9520286,0.01024746,0.03188948],"study_design_scores_gemma":[0.000002127456,0.000004736671,0.0004313134,0.00008142991,0.00000253498,0.00003333871,0.0001221673,0.02226829,0.0001493006,0.8982013,0.07869726,0.000006270769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03716788,0.0629271,0.3451032,0.03955435,0.00160953,0.0001403355,0.001815806,0.001051998,0.5106297],"genre_scores_gemma":[0.8027984,0.03814512,0.07124607,0.00164856,0.001877401,0.0002335943,0.001435746,0.0002930667,0.0823221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009665386,"threshold_uncertainty_score":0.03233397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270436480305997,"score_gpt":0.177309869087892,"score_spread":0.1446055042848321,"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."}}