{"id":"W6927103486","doi":"10.25814/5d71c8b01f92e","title":"Agricultural commodities: September quarter 2019","year":2019,"lang":"en","type":"article","venue":"Department of Agriculture, Fisheries and Forestry - ABARES","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Quarter (Canadian coin); Agricultural productivity; Key (lock)","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":[0.0008348218,0.0007294404,0.0003315292,0.001610865,0.001242579,0.004971731,0.0006128863,0.00155154,0.2026686],"category_scores_gemma":[0.0026114,0.0003079978,0.0003105051,0.002245659,0.0003057503,0.002595779,0.001266198,0.002273928,0.1574772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591206,"about_ca_system_score_gemma":0.002204825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323534,"about_ca_topic_score_gemma":0.03487636,"domain_scores_codex":[0.9993618,0.00002370267,0.00002822471,0.00004859346,0.0004488196,0.00008885015],"domain_scores_gemma":[0.9989489,0.00004869592,0.00006998837,0.00004463274,0.0006720956,0.000215662],"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":[0.00004099424,0.00001296617,0.000123901,0.00007141985,0.000001246798,0.00002695945,0.00001895001,0.00002431148,0.0002277902,0.001532634,0.9803381,0.01758077],"study_design_scores_gemma":[0.000002498646,0.00001005142,0.001006877,0.00003921088,5.132698e-7,0.00001360639,0.00003052008,0.00002464798,0.00008136617,0.0002463906,0.9985397,0.000004622544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004987145,0.00902041,0.001055376,0.01956299,0.03260448,0.0002895319,0.06933042,0.002026448,0.8611233],"genre_scores_gemma":[0.008152766,0.005182233,0.0008393945,0.00454319,0.001907537,0.0001193384,0.02710097,0.0005240585,0.9516305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2026686,"threshold_uncertainty_score":0.6779941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005272118752760545,"score_gpt":0.2081855464469423,"score_spread":0.2029134276941817,"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."}}