{"id":"W2784356899","doi":"10.1139/cjfr-2017-0251","title":"Guidelines for risk management in forest planning — what is risk and when is risk management useful?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk management; Risk analysis (engineering); Risk management information systems; IT risk management; Risk management plan; Risk assessment; Computer science; Process (computing); Adaptation (eye); Factor analysis of information risk; Variety (cybernetics); Business; Environmental resource management; Information system; Management information systems; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.05807593,0.002269913,0.001791784,0.007021916,0.005889019,0.01382227,0.008720728,0.01128477,0.005447344],"category_scores_gemma":[0.09479208,0.00140257,0.001545836,0.007172945,0.01245236,0.01261585,0.005501669,0.01255257,0.003029556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01082136,"about_ca_system_score_gemma":0.03166075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04659021,"about_ca_topic_score_gemma":0.07798614,"domain_scores_codex":[0.9508983,0.0283745,0.005198014,0.001347583,0.01247987,0.001701696],"domain_scores_gemma":[0.9108497,0.0442582,0.007299086,0.00397232,0.02966902,0.00395171],"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":[0.00004753333,0.0002912228,0.002772267,0.002519368,0.00008794213,0.0006222727,0.007016426,0.01741592,0.0008148508,0.5444857,0.1802755,0.243651],"study_design_scores_gemma":[0.00003748358,0.00007354526,0.002134438,0.01011417,0.00005826237,0.0004395457,0.005328551,0.006805273,0.0005189833,0.6133006,0.3609756,0.0002135953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.006087202,0.05828277,0.3617771,0.4567438,0.003981638,0.00191964,0.001195177,0.0009658588,0.1090467],"genre_scores_gemma":[0.1148784,0.05426413,0.7886381,0.02383427,0.002385676,0.001929578,0.001051107,0.000477681,0.01254113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9534098,"threshold_uncertainty_score":0.3071386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08987940013548869,"score_gpt":0.3655321643281996,"score_spread":0.2756527641927109,"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."}}