{"id":"W3120954534","doi":"10.1007/s10113-020-01733-3","title":"Cross-jurisdictional insights from forest practitioners on novel climate-adaptive options for Canada’s forests","year":2021,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Genome Canada","keywords":"Reforestation; Climate change; Psychological intervention; Environmental resource management; Geography; Forest management; Environmental planning; Ecology; Forestry; Environmental science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01141793,0.0002716051,0.0003597263,0.001718777,0.02795246,0.01356602,0.00210028,0.004142109,0.00735864],"category_scores_gemma":[0.01887435,0.0002620936,0.000350002,0.00271522,0.0170444,0.004922627,0.005517287,0.007185353,0.0001977289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07877699,"about_ca_system_score_gemma":0.1369573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9422489,"about_ca_topic_score_gemma":0.9849859,"domain_scores_codex":[0.9924669,0.002187351,0.0001486554,0.0004693424,0.001826963,0.002900843],"domain_scores_gemma":[0.9834514,0.007855831,0.0006498576,0.0003916615,0.004597334,0.003053954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009797479,0.000196321,0.03116008,0.000178195,0.00005888152,0.001366663,0.5144489,0.002432421,0.001272028,0.3426704,0.04151922,0.06459887],"study_design_scores_gemma":[0.00001782587,0.00003057796,0.01847483,0.000467318,0.00004827915,0.0001495859,0.7596654,0.001144649,0.0003915521,0.0375207,0.1820219,0.00006738224],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4886564,0.003240024,0.004344496,0.1571789,0.0002667224,0.00007167331,0.0001234821,0.00003259014,0.3460857],"genre_scores_gemma":[0.9851525,0.0007405877,0.0007884327,0.007604294,0.00001887758,0.0000149882,0.00002100649,0.00001726504,0.005641976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07877699,"threshold_uncertainty_score":0.5715697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930426529306547,"score_gpt":0.2387583577642452,"score_spread":0.2094540924711797,"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."}}