{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003331654,0.0002492638,0.000538517,0.0001070746,0.001206787,0.002199833,0.002065275,0.0003229126,0.0002868877],"category_scores_gemma":[0.006357044,0.0001637205,0.0001855829,0.0002398965,0.0003461346,0.001517365,0.0003870234,0.0003506664,0.0007074804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303662,"about_ca_system_score_gemma":0.0001806973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005206586,"about_ca_topic_score_gemma":0.00007884609,"domain_scores_codex":[0.9966943,0.0001168894,0.0009060954,0.0005336058,0.001246497,0.0005026292],"domain_scores_gemma":[0.9964367,0.0005048595,0.0007697418,0.001716306,0.0003432558,0.0002291155],"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":[0.0002587524,0.00006112995,0.02078216,0.000002009351,0.00001860213,0.00001166394,0.0001484995,0.00002835835,0.0009867446,0.000188006,0.9224209,0.05509315],"study_design_scores_gemma":[0.002789642,0.000134646,0.1135201,0.00006660018,0.00001503658,0.000009701384,0.0001744456,0.0003990239,0.0005875283,0.000307015,0.8816823,0.0003139499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469942,0.00007575196,0.00002183243,0.01087226,0.002567235,0.0002277673,0.0006076678,0.00004349995,0.03858981],"genre_scores_gemma":[0.9607052,0.00007155513,0.0001130284,0.0004777368,0.002450088,0.000005549251,0.00008954116,0.00001259626,0.03607466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09273796,"threshold_uncertainty_score":0.998836,"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."}}