{"id":"W2783445508","doi":"10.1002/9781118786352.wbieg0959","title":"Resources and Development","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Mining and Resource Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diversification (marketing strategy); Resource (disambiguation); Natural resource; Perspective (graphical); Corporate governance; Exploitation of natural resources; Business; Environmental resource management; Economic geography; Geography; Political science; Economics; Computer science; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.00005210636,0.0001508059,0.0001571989,0.0004699757,0.00002334633,0.00002165257,0.0002954589,0.00009829614,0.0003622284],"category_scores_gemma":[0.000008175436,0.0001420515,0.0000434645,0.0000196347,0.00006932045,0.00001405873,0.00008239539,0.00008474212,0.00001806518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006391023,"about_ca_system_score_gemma":0.000004992793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005954588,"about_ca_topic_score_gemma":0.0000212161,"domain_scores_codex":[0.9994116,0.000004276683,0.0001344253,0.0001388398,0.0002111755,0.00009972582],"domain_scores_gemma":[0.9996657,0.00001146652,0.000096478,0.0001740464,0.00001364351,0.00003865149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004791274,0.00002968027,0.01281138,0.0003430262,0.001086584,0.00001607076,0.0005795372,0.0001054954,0.000002412768,0.0001523823,0.7970597,0.1878089],"study_design_scores_gemma":[0.0001181221,0.000005264868,0.004816928,0.000256734,0.0000120854,0.000001041888,0.00001826358,0.00003957875,0.000004101239,0.00000667521,0.9945746,0.0001465824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007168207,0.002781559,0.0001407969,0.00001479743,0.0007588268,0.00007215083,0.00002240656,0.0001545939,0.995338],"genre_scores_gemma":[0.004633527,0.01349888,0.005012046,0.00002076279,0.0007121434,0.00004152108,0.0000736208,0.0003192421,0.9756883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1975149,"threshold_uncertainty_score":0.5792692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005706774862731288,"score_gpt":0.2063823452229317,"score_spread":0.2006755703602004,"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."}}