{"id":"W2810345336","doi":"","title":"Q2 results roundup: : Lower prices and uncertainty continue","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tonne; Agricultural economics; Crude oil; Agricultural science; Quarter (Canadian coin); Animal science; Environmental science; Business; Geography; Economics; Engineering; Archaeology","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":[0.01361302,0.001210443,0.0006874943,0.001774676,0.002897348,0.01074788,0.001667606,0.006577482,0.1901379],"category_scores_gemma":[0.04925136,0.0004725955,0.001422976,0.0012304,0.00172729,0.005565608,0.002400927,0.005048045,0.06674849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007725403,"about_ca_system_score_gemma":0.007483116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04568961,"about_ca_topic_score_gemma":0.03647297,"domain_scores_codex":[0.9842255,0.002135358,0.0005108904,0.0008387904,0.01031845,0.001970977],"domain_scores_gemma":[0.9429669,0.009841305,0.001817615,0.002382441,0.03998313,0.003008639],"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":[0.0001075975,0.00002061966,0.0005038502,0.00009580335,0.000009488422,0.00006637863,0.00006201494,0.0001372694,0.0002590801,0.002190177,0.9884072,0.008140485],"study_design_scores_gemma":[0.0001007375,0.0001447979,0.005008499,0.0002834535,0.00002428212,0.0001081439,0.0005130145,0.0007154968,0.001703445,0.003154925,0.9881691,0.00007416163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009291467,0.002924765,0.007335044,0.4298555,0.0525655,0.0009444121,0.02991918,0.00568547,0.4614787],"genre_scores_gemma":[0.169411,0.002715611,0.008208391,0.2168666,0.01880355,0.0008515404,0.01762186,0.004311803,0.5612096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1901379,"threshold_uncertainty_score":0.6360747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288074545960787,"score_gpt":0.2202612956402728,"score_spread":0.1914538410441941,"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."}}