{"id":"W4367361896","doi":"10.1021/cen-09940-buscon1","title":"BASF, Dow feel supply chain impact","year":2021,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Business; Coronavirus disease 2019 (COVID-19); Supply chain; Chemical industry; Inflation (cosmology); Commerce; Agricultural economics; Finance; Economics; Engineering; Marketing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002465517,0.001083408,0.000452594,0.00122492,0.003915872,0.01062819,0.0007779436,0.007244661,0.3070201],"category_scores_gemma":[0.007617002,0.0005567261,0.0005235506,0.001038277,0.001125819,0.004037964,0.00194078,0.006478754,0.08468364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005487846,"about_ca_system_score_gemma":0.01044926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710374,"about_ca_topic_score_gemma":0.03139279,"domain_scores_codex":[0.9963031,0.0002411475,0.0001333737,0.0005099516,0.002199403,0.0006130465],"domain_scores_gemma":[0.9937544,0.0005693705,0.0002122131,0.0002998995,0.0031782,0.001985993],"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":[0.00001819559,0.00001580148,0.0001773678,0.00002641861,0.000002008564,0.00005774307,0.00001978456,0.00002398684,0.0001181424,0.003356541,0.9675274,0.02865652],"study_design_scores_gemma":[0.000008175663,0.00001815555,0.0003505356,0.00004850773,0.00000225553,0.00004398269,0.00006215805,0.00003250242,0.0001165021,0.0008785359,0.9984307,0.000008070817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001854853,0.008110318,0.0009935073,0.2481673,0.04278902,0.0001408417,0.001233858,0.0009541479,0.695756],"genre_scores_gemma":[0.01351331,0.005011732,0.0008655855,0.04623479,0.006042219,0.00006317717,0.0007986735,0.0002543926,0.9272162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3070201,"threshold_uncertainty_score":0.9884517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004183960918260651,"score_gpt":0.2709454223023635,"score_spread":0.2667614613841028,"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."}}