{"id":"W2564748259","doi":"10.5558/tfc2016-079","title":"Knowledge Exchange in the Canadian Wood Fibre Centre: National scope with regional delivery","year":2016,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"FPInnovations","keywords":"Scope (computer science); General partnership; Business; Environmental resource management; Environmental science; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01909105,0.0003313282,0.0003149462,0.003353981,0.01917999,0.0169281,0.002775189,0.002608141,0.01389819],"category_scores_gemma":[0.01831463,0.0004098965,0.0003576826,0.00661556,0.007313211,0.009159901,0.01391699,0.002771538,0.001509575],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07650802,"about_ca_system_score_gemma":0.2185017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7275932,"about_ca_topic_score_gemma":0.8355704,"domain_scores_codex":[0.9859726,0.004221463,0.000397701,0.001251518,0.004649074,0.003507574],"domain_scores_gemma":[0.9779763,0.003956979,0.0008742777,0.001816454,0.006910198,0.008465922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000879776,0.0003326347,0.008173533,0.0003981422,0.00002635397,0.0006241388,0.07097442,0.0008286344,0.0008993797,0.1747945,0.1390909,0.6037693],"study_design_scores_gemma":[0.00002983924,0.00008711215,0.01206303,0.0005526901,0.00001695775,0.0002545491,0.06356969,0.0009764159,0.0006470358,0.01736498,0.9043654,0.00007234059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07859109,0.006142269,0.03437469,0.08518176,0.0006674622,0.001333183,0.0004529684,0.0004798062,0.7927767],"genre_scores_gemma":[0.7779686,0.006221635,0.0490821,0.009753692,0.000229262,0.0007901349,0.0007119449,0.0002625899,0.15498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.923492,"threshold_uncertainty_score":0.5551071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804590699203578,"score_gpt":0.2290116922192989,"score_spread":0.2109657852272631,"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."}}