{"id":"W7056812676","doi":"","title":"Governance challenges for wildland preservation in Canada and Mexico","year":2010,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Government (linguistics); Vulnerability (computing); Legislation; Work (physics)","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":[0.001918636,0.0001392207,0.0003128182,0.001082535,0.01392519,0.01012916,0.001404789,0.001517681,0.005449502],"category_scores_gemma":[0.003292385,0.0001943419,0.0001952165,0.002757689,0.004731072,0.001676652,0.003313909,0.001785659,0.0001307648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06315422,"about_ca_system_score_gemma":0.09217433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9691159,"about_ca_topic_score_gemma":0.9906273,"domain_scores_codex":[0.9983645,0.0001902219,0.00003248455,0.0001371487,0.0002273562,0.001048366],"domain_scores_gemma":[0.9977469,0.0002744218,0.0002319598,0.0001210871,0.0008101592,0.0008154939],"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":[0.0002226652,0.0001632041,0.1391311,0.0002301474,0.0001168032,0.001766367,0.0286052,0.007678691,0.0009459315,0.6303046,0.07337936,0.117456],"study_design_scores_gemma":[0.00007195774,0.00007388164,0.2230325,0.0006026074,0.0001021678,0.0003561462,0.1819416,0.004211219,0.0008225606,0.05356589,0.5351038,0.0001155747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7294693,0.004320144,0.002282086,0.08996363,0.0001513464,0.0001614541,0.0009929966,0.00007400491,0.1725851],"genre_scores_gemma":[0.9748793,0.001333574,0.001133568,0.001720564,0.00002311737,0.00006481095,0.0001667285,0.00002006588,0.02065828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06315422,"threshold_uncertainty_score":0.4582181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004276952677495884,"score_gpt":0.1522015979417594,"score_spread":0.1479246452642635,"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."}}