{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002932644,0.000147844,0.0002435494,0.001852692,0.007243159,0.00529407,0.001232634,0.001103246,0.01468432],"category_scores_gemma":[0.01135192,0.0004018199,0.00008717518,0.007567354,0.001916139,0.002352236,0.002279067,0.00149901,0.001349377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02725357,"about_ca_system_score_gemma":0.07416011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343135,"about_ca_topic_score_gemma":0.9748474,"domain_scores_codex":[0.9964994,0.0004715893,0.0001278491,0.0002279087,0.001791636,0.0008816189],"domain_scores_gemma":[0.9815564,0.004083666,0.001457066,0.0004703837,0.007249711,0.005182728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002136743,0.0003502726,0.3685958,0.0007964394,0.00003539933,0.002467346,0.1353436,0.0003713824,0.003342291,0.01437281,0.1796665,0.2944444],"study_design_scores_gemma":[0.00001715924,0.00005895292,0.3554994,0.0007696129,0.0000163037,0.0003859888,0.2777791,0.0006148175,0.0003054288,0.0005859137,0.3639092,0.00005811504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187132,0.003683055,0.0006619081,0.02454245,0.00006122083,0.0003136473,0.00217291,0.0001088002,0.1497429],"genre_scores_gemma":[0.9188336,0.003806884,0.0008702361,0.003318928,0.00001187055,0.0001267864,0.0009123915,0.0000733531,0.07204598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06568646,"threshold_uncertainty_score":0.1977394,"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."}}