{"id":"W2897640588","doi":"","title":"Company results:: Net sales boost Abemarle's Q1 performance","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debt; Earnings; Payment; Quarter (Canadian coin); Monetary economics; Business; Economics; Agricultural economics; Financial system; Finance; Geography","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":[0.003039498,0.0004268264,0.0002154786,0.001374323,0.001363415,0.003203357,0.0004470778,0.001053529,0.1310734],"category_scores_gemma":[0.007457361,0.0001268097,0.0004244618,0.0007637357,0.0004254963,0.001339214,0.001022957,0.00117635,0.04079225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210259,"about_ca_system_score_gemma":0.002662167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501468,"about_ca_topic_score_gemma":0.02881274,"domain_scores_codex":[0.9979969,0.0002049206,0.00006096566,0.0001639798,0.001213568,0.000359684],"domain_scores_gemma":[0.9898111,0.001533275,0.000462293,0.0003156289,0.005380264,0.002497403],"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":[0.0001980794,0.0002049853,0.01714715,0.0001371928,0.00001905731,0.0001205647,0.0001960942,0.0002050308,0.0007490056,0.001669519,0.9206543,0.05869893],"study_design_scores_gemma":[0.0001896846,0.000986585,0.1511571,0.0001883027,0.00004871402,0.0002426284,0.001604669,0.001013248,0.003502695,0.001031492,0.8399613,0.0000735376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1253529,0.001538219,0.001524034,0.09903998,0.003007749,0.0005067891,0.02899704,0.003886383,0.7361468],"genre_scores_gemma":[0.4613618,0.0009377633,0.001437903,0.01569095,0.001871546,0.0001648731,0.01628565,0.0006505619,0.501599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1310734,"threshold_uncertainty_score":0.4384841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3805701368939741,"score_gpt":0.408414502680053,"score_spread":0.02784436578607896,"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."}}