{"id":"W2968351148","doi":"10.1007/978-3-319-77440-4_12","title":"Powers of Access: Impacts on Resource Users and Researchers in Myanmar’s Shan State","year":2019,"lang":"en","type":"book-chapter","venue":"˜The œanthropocene: Politik - economics - society - science","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Livelihood; Natural resource; State (computer science); Political science; Disadvantage; Geography; Resource (disambiguation); Economic growth; Government (linguistics); Environmental planning; Development economics; Business; Economics; Agriculture","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","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005012737,0.0005187921,0.0007105109,0.0004825205,0.00164628,0.0006566333,0.002520613,0.0004140348,0.0002426976],"category_scores_gemma":[0.0001704862,0.000484897,0.000451478,0.0004645563,0.01932515,0.0007897917,0.0007404507,0.001189779,0.00004200126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348394,"about_ca_system_score_gemma":0.003756141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421128,"about_ca_topic_score_gemma":0.002606063,"domain_scores_codex":[0.9951783,0.0001446608,0.0007641357,0.0011466,0.000883851,0.001882459],"domain_scores_gemma":[0.9966106,0.0007339236,0.0006829904,0.001012698,0.0002125535,0.0007472472],"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":[0.0001052443,0.0001256933,0.006652696,0.0002539248,0.0002506878,0.000008634174,0.08995727,0.0002870775,0.000011494,0.8849123,0.01367213,0.003762868],"study_design_scores_gemma":[0.001809109,0.000734709,0.01035707,0.001148051,0.0001203769,0.000007910597,0.1222086,0.0009928744,0.0001604634,0.5326529,0.3268689,0.002939045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1286105,0.0005739979,0.000006177759,0.005026408,0.000561537,0.001119137,0.0005078279,0.00005514115,0.8635392],"genre_scores_gemma":[0.9366783,0.006583381,0.0002749121,0.002905716,0.0003887037,0.00001500246,0.00002784772,0.0001662785,0.05295987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8105794,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396398572319839,"score_gpt":0.3524742834029804,"score_spread":0.278510297679782,"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."}}