{"id":"W2898894897","doi":"","title":"Company results: : Higher lithium prices boost FMC revenues in Q1","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Earnings; Quarter (Canadian coin); Lithium (medication); Point (geometry); Agricultural economics; Economics; Business; Mathematics; 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":[0.001737268,0.0006511581,0.0002121927,0.0008877838,0.001273522,0.003518393,0.0003916066,0.001846744,0.160147],"category_scores_gemma":[0.002913562,0.000188549,0.0004714441,0.0004451545,0.0004080857,0.001107764,0.0006429456,0.00130001,0.0533515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806134,"about_ca_system_score_gemma":0.004260974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107772,"about_ca_topic_score_gemma":0.02166781,"domain_scores_codex":[0.9985233,0.0000646054,0.00003872236,0.0001210342,0.001045142,0.0002072628],"domain_scores_gemma":[0.9961456,0.000355348,0.0001671638,0.0001034428,0.002302738,0.0009256013],"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":[0.0001977624,0.0001474775,0.002390198,0.00008974914,0.000008906851,0.0001127083,0.00004648032,0.0001302042,0.00157866,0.001049763,0.9561205,0.03812753],"study_design_scores_gemma":[0.0002370523,0.0007004602,0.01880877,0.0001090926,0.00003401657,0.0002005144,0.0003741896,0.0006109243,0.007035754,0.0005473298,0.9712866,0.00005523361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04204426,0.002411777,0.002174538,0.0631137,0.006824392,0.001094178,0.02434003,0.005819212,0.852178],"genre_scores_gemma":[0.1139109,0.001646838,0.001496175,0.01484445,0.002302724,0.0002024636,0.01223203,0.0006138492,0.8527507],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.160147,"threshold_uncertainty_score":0.5357453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025569201837916,"score_gpt":0.3123988770313391,"score_spread":0.2098419568475475,"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."}}