{"id":"W6946667469","doi":"10.35002/yg07-m816","title":"Historical Canadian Provincial Marketable Natural Gas Production","year":2020,"lang":"en","type":"dataset","venue":"Canadian Energy Regulator","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Natural gas; Natural (archaeology); Government (linguistics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001438928,0.0005943635,0.0006338781,0.0006178885,0.0005086103,0.0001671046,0.001012318,0.0009525311,0.002665695],"category_scores_gemma":[0.0004177662,0.0006262637,0.0002391861,0.0004912923,0.000120514,0.0001255827,0.00008802671,0.00121899,0.0002435123],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0101189,"about_ca_system_score_gemma":0.01414732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844219,"about_ca_topic_score_gemma":0.997717,"domain_scores_codex":[0.9961534,0.00006334124,0.000447273,0.001128407,0.0006358822,0.001571708],"domain_scores_gemma":[0.9947879,0.00002467666,0.0001469903,0.001048249,0.0001927086,0.003799431],"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":[0.00002332731,0.00001476993,0.00001526988,0.0002431277,0.00009767256,0.0006026216,0.000007432666,0.000003728846,0.0002536858,0.00004518681,0.996258,0.002435231],"study_design_scores_gemma":[0.0001676766,0.00001927655,0.0000151622,0.00009391902,0.00006444922,0.00007748327,0.00001156207,0.00002011611,0.0008620977,0.00002868566,0.9979325,0.0007070751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002386538,0.001430434,6.343478e-8,0.005707179,0.002677941,0.0001358522,0.9852478,0.0000730661,0.004489039],"genre_scores_gemma":[0.003234147,0.0001061764,0.00001433428,0.0005471868,0.007369974,0.00009086585,0.9318283,0.00010597,0.05670304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05341946,"threshold_uncertainty_score":0.9996189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810501772366118,"score_gpt":0.190867709953423,"score_spread":0.1827626922297618,"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."}}