{"id":"W4231912080","doi":"10.1163/2210-7975_hrd-0122-0016","title":"land-and-conflict-resource-extraction-human-rights-and-corporate-social-responsibility-canadian-companies-in-colombia-sept-2009-73pp","year":2016,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"Human Rights and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Business; Resource (disambiguation); Human rights; Social conflict; Natural resource economics; Land rights; Human resources; Extraction (chemistry); Environmental resource management; Political science; Environmental planning; Geography; Law; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006973646,0.003288419,0.001306393,0.004253894,0.001524512,0.0024786,0.003274204,0.002809959,0.03669913],"category_scores_gemma":[0.003223737,0.0008362166,0.002471105,0.006671825,0.000714875,0.001301248,0.001900735,0.00199323,0.03169194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006782045,"about_ca_system_score_gemma":0.007600735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6424654,"about_ca_topic_score_gemma":0.8237191,"domain_scores_codex":[0.9993273,0.00006624206,0.00005231814,0.0001564336,0.000153065,0.0002446315],"domain_scores_gemma":[0.9984179,0.0002781108,0.0001369705,0.0003882381,0.0004778681,0.0003009832],"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":[0.00008722761,0.00004240925,0.003006551,0.000625253,0.0000534356,0.00003673895,0.00005136583,0.0006488086,0.0001155855,0.0004097423,0.9922321,0.002690909],"study_design_scores_gemma":[0.0005895692,0.00002395749,0.02999456,0.0007389623,0.000114619,0.00009674254,0.0005966269,0.002193261,0.0007900872,0.0009367001,0.9638277,0.00009715222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000343399,0.00008361854,0.00002254602,0.00008065489,0.00002268482,0.000009473844,0.9987676,0.0002297569,0.0004403584],"genre_scores_gemma":[0.0007957431,0.0000935988,0.0001760966,0.00002546278,0.000006109715,0.00003301401,0.9981176,0.00003253635,0.0007197986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3575346,"threshold_uncertainty_score":0.7192804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04511720803110783,"score_gpt":0.3533974373149567,"score_spread":0.3082802292838488,"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."}}