{"id":"W2507461084","doi":"10.1093/forestry/cpw034","title":"Aboriginal people and forestry companies in Canada: possibilities and pitfalls of an informal ‘social licence’ in a contested environment: Table 1","year":2016,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Mining and Resource Management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Framing (construction); Table (database); Public relations; Business; Political science; Leverage (statistics); Community forestry; Forestry; Forest management; Engineering; Geography; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612593,0.0001126959,0.000223453,0.000411376,0.00004175216,0.00005411991,0.0003472265,0.00005677555,0.00003658425],"category_scores_gemma":[0.00004960162,0.00008638817,0.00001994628,0.0001185381,0.0001791768,0.0005667003,0.0000601777,0.00030541,4.598077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236659,"about_ca_system_score_gemma":0.0002681215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06884097,"about_ca_topic_score_gemma":0.2396746,"domain_scores_codex":[0.9983512,0.00006945304,0.0004790209,0.0001172845,0.0006832348,0.0002997917],"domain_scores_gemma":[0.9993889,0.0001730818,0.00009572462,0.00009395942,0.0001239938,0.0001243378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002456503,0.00006461953,0.9848096,0.00005710443,0.00004325272,0.00009642854,0.003142388,0.00764078,0.00011253,0.002105883,0.00003113131,0.001650621],"study_design_scores_gemma":[0.001307361,0.0002550271,0.9851482,0.0002333374,0.000003325044,0.00006306364,0.003864612,0.007994948,0.0001190799,0.0002927341,0.0006170369,0.0001012706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999126,0.0001163199,0.00003479003,0.0001055975,0.00007534618,0.00007488213,0.00003167663,0.000004622062,0.0004307877],"genre_scores_gemma":[0.9993746,0.0002700018,0.0001442008,0.000005267909,0.0001071588,0.000006407899,0.000005332246,0.00001137236,0.0000756892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1708337,"threshold_uncertainty_score":0.9373597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639031472006582,"score_gpt":0.2780932170533003,"score_spread":0.2617029023332345,"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."}}