{"id":"W6942292650","doi":"10.14288/1.0437740","title":"Exploring the work of the Canadian District Home Economist","year":2023,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Weaving; Government (linguistics); Poverty","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":[0.002751101,0.000298173,0.0003867086,0.001884337,0.03639853,0.008981871,0.001651938,0.001316731,0.0172193],"category_scores_gemma":[0.005306748,0.0003620516,0.0002139202,0.003099482,0.01054134,0.002077312,0.003681147,0.002484014,0.001231003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09961173,"about_ca_system_score_gemma":0.1163757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769614,"about_ca_topic_score_gemma":0.9926018,"domain_scores_codex":[0.9958726,0.0009983877,0.00005370782,0.0003687423,0.0009832404,0.001723427],"domain_scores_gemma":[0.9952477,0.0008701441,0.000214856,0.0001415649,0.001204798,0.002320914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001682731,0.0001626912,0.03059081,0.000270535,0.00002893663,0.003524052,0.6591789,0.0003324111,0.001160411,0.06763171,0.1496421,0.0873093],"study_design_scores_gemma":[0.000006292421,0.00002488247,0.01331939,0.0001545789,0.000007776894,0.0002343538,0.595015,0.0001226797,0.0001584721,0.0008551126,0.3900619,0.00003943136],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5319645,0.004139871,0.001210739,0.05785521,0.0008664567,0.000160394,0.0007266728,0.00006915465,0.4030069],"genre_scores_gemma":[0.9222038,0.002264116,0.0008022726,0.003505281,0.00004662847,0.0000353377,0.0001254478,0.00004456314,0.07097258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09961173,"threshold_uncertainty_score":0.7227371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618905758455912,"score_gpt":0.1494113076202923,"score_spread":0.1232222500357332,"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."}}