{"id":"W7095542751","doi":"","title":"Extension Partnership 042 Revisiting a Forest Extension Strategy for British Columbia: A Survey of Natural Resource Practitioners and Information Providers","year":2013,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Government (linguistics); Extension (predicate logic); Corporation; Product (mathematics); Resource (disambiguation)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001295619,0.0001075001,0.0002251545,0.00008581085,0.0002907546,0.002084451,0.0002214378,0.00007324258,0.00001402428],"category_scores_gemma":[0.00141167,0.0001286462,0.00004195789,0.0002784067,0.00005828047,0.00830163,0.0001295228,0.0001152709,0.000006834859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002420804,"about_ca_system_score_gemma":0.00009747632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038315,"about_ca_topic_score_gemma":0.001043687,"domain_scores_codex":[0.9984707,0.00007539813,0.0007083243,0.0002065513,0.0002870261,0.0002519519],"domain_scores_gemma":[0.9975131,0.0004116508,0.0006827854,0.0002504402,0.001056745,0.00008532693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000369039,0.0001073262,0.006374544,0.003797189,0.00005505392,0.000002140219,0.005558126,0.001664557,0.0002299024,0.01498402,0.09619136,0.8709989],"study_design_scores_gemma":[0.0006290285,0.0001003859,0.08029004,0.0004200446,0.000007299518,0.00007704354,0.0008621592,0.9128364,0.00005393627,0.003143012,0.001323625,0.0002570251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3406722,0.0001576423,0.6522044,0.0004932297,0.0001165485,0.0015045,0.000004451957,0.0002487848,0.004598271],"genre_scores_gemma":[0.9578218,0.00001155321,0.04116541,0.0005916251,0.00002328965,0.00002889543,0.00005154843,0.000006872972,0.000298999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9111719,"threshold_uncertainty_score":0.9989515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110238177931535,"score_gpt":0.2602944880115838,"score_spread":0.2291921062322684,"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."}}