{"id":"W7095395503","doi":"","title":"Science Development and Transfer · Ontario Ministry of Natural Resources Canadian Cataloguing in Publication Data","year":2000,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Natural resource; Carbon stock; Forest ecology; Natural forest; Technology transfer; Carbon cycle","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002029841,0.001355023,0.001886629,0.01381011,0.004775485,0.006977745,0.001983633,0.001004682,0.3168866],"category_scores_gemma":[0.01285289,0.001295046,0.0008735728,0.03900194,0.0008331823,0.002566573,0.00159903,0.001546673,0.1916193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03935895,"about_ca_system_score_gemma":0.1419645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9598735,"about_ca_topic_score_gemma":0.9661525,"domain_scores_codex":[0.9942017,0.000114433,0.0004314802,0.0004370234,0.004085701,0.0007296059],"domain_scores_gemma":[0.9732861,0.0007758221,0.0007197973,0.001546747,0.02233705,0.00133442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002962794,0.00001112416,0.001202025,0.0004535474,0.000008007302,0.00002205862,0.00006598078,0.000082391,0.00009377769,0.001661192,0.9592654,0.03710499],"study_design_scores_gemma":[0.000007063194,0.000003954958,0.007797184,0.000104799,0.000005277852,0.0000102313,0.00004299054,0.00006767271,0.00007967782,0.000138529,0.9917315,0.0000111065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001061539,0.001694415,0.0004122868,0.00171811,0.0008186122,0.0004499734,0.7230856,0.0006824163,0.2700771],"genre_scores_gemma":[0.005986358,0.005336648,0.0018164,0.0003790548,0.00015316,0.000471195,0.3753056,0.0005841929,0.6099675],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3168866,"threshold_uncertainty_score":0.9743783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339317691509155,"score_gpt":0.2001265396345412,"score_spread":0.1467333627194497,"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."}}