{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000542018,0.0002182646,0.0002189311,0.00001936065,0.00007638232,0.00005767879,0.0001724856,0.00016809,0.000129438],"category_scores_gemma":[0.000007477527,0.0001353716,0.0001179352,0.00007249993,0.0001180119,0.0000143599,0.0001586933,0.0001024451,0.0000282206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007644421,"about_ca_system_score_gemma":0.00002002401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002373518,"about_ca_topic_score_gemma":0.00004769175,"domain_scores_codex":[0.9988874,0.00003548638,0.0002222343,0.0003170724,0.0002439828,0.0002938068],"domain_scores_gemma":[0.9994533,0.00001165157,0.00007725405,0.0002297135,0.0001149919,0.0001130693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002132964,0.0002511968,0.1534838,0.0002428292,0.0003122668,0.000005666756,0.0002182397,0.00007134175,0.283751,0.0004220542,0.5606403,0.0003879367],"study_design_scores_gemma":[0.0009694835,0.001546453,0.5787241,0.00004927381,0.00003528445,0.00005569105,0.001516757,0.00001075434,0.1141868,0.0001003435,0.3023155,0.0004894885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855527,0.001780035,0.000004700767,0.0001734197,0.0001629417,0.0003329253,0.0002682891,0.00001187749,0.01171312],"genre_scores_gemma":[0.9904203,0.0003614631,0.0001364548,0.00007458917,0.0001793906,0.0000328697,0.001136364,0.00001160277,0.007646959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252403,"threshold_uncertainty_score":0.5520292,"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."}}