{"id":"W3085840370","doi":"10.3390/su12187673","title":"Bigger Data and Quantitative Methods in the Study of Socio-Environmental Conflicts","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Mining and Resource Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Data science; Field (mathematics); Computer science; Context (archaeology); Generalizability theory; Management science; Complement (music); Structuring; Risk analysis (engineering); Data mining; Geography; Engineering; Political science; Business","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":[0.1617968,0.001574914,0.001833467,0.01230994,0.004421822,0.01068853,0.003441976,0.003248345,0.007707556],"category_scores_gemma":[0.2327493,0.001125442,0.001765554,0.0201107,0.0177757,0.01493748,0.01033532,0.005961764,0.001092608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004740104,"about_ca_system_score_gemma":0.008543938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333487,"about_ca_topic_score_gemma":0.004064739,"domain_scores_codex":[0.7660269,0.2039144,0.009205748,0.007049822,0.01292387,0.0008792467],"domain_scores_gemma":[0.4917546,0.4396005,0.02054297,0.03371497,0.0126107,0.001776178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001862389,0.0002867193,0.01217313,0.005586686,0.0003873556,0.0002908628,0.05600219,0.001968727,0.001024613,0.7550098,0.01161255,0.1554709],"study_design_scores_gemma":[0.0001263349,0.0003325934,0.01088972,0.007731822,0.0001825161,0.0005075614,0.03671938,0.005303534,0.001395625,0.7180768,0.2184994,0.0002347393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02569379,0.01747891,0.8631257,0.03246907,0.002971049,0.005715471,0.003712153,0.0003291976,0.04850458],"genre_scores_gemma":[0.1521476,0.006520119,0.8088068,0.005968397,0.001289905,0.02114531,0.00117153,0.0002507451,0.002699608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1617968,"threshold_uncertainty_score":0.8556737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05799762208124284,"score_gpt":0.350640880017817,"score_spread":0.2926432579365741,"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."}}