{"id":"W4391757341","doi":"10.1002/0050064","title":"Panel Makers’ First Quarter Fab Utilization Rates Expected to Drop","year":2024,"lang":"en","type":"dataset","venue":"News Digital Object Group","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Drop (telecommunication); Drop out; Business; Environmental science; Econometrics; Computer science; Economics; Demographic economics; Geography; Telecommunications","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":[0.001309329,0.001133132,0.0008461411,0.003858801,0.0005217616,0.002755129,0.001406397,0.001794222,0.06031452],"category_scores_gemma":[0.01200617,0.0006010443,0.001256354,0.006561057,0.0002058978,0.001276788,0.001200494,0.001739024,0.05333291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00141072,"about_ca_system_score_gemma":0.00131148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.051011,"about_ca_topic_score_gemma":0.05044944,"domain_scores_codex":[0.9986778,0.0001321503,0.0001301257,0.0003118382,0.0004489781,0.0002991146],"domain_scores_gemma":[0.9948949,0.001300256,0.001070304,0.0005681033,0.001722174,0.0004441951],"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":[0.0001030396,0.00001959224,0.005168036,0.0001456223,0.00003311425,0.00001337123,0.00001665095,0.000483722,0.00005229249,0.0003301459,0.9907119,0.002922459],"study_design_scores_gemma":[0.0004621797,0.00006477849,0.1109524,0.0004347082,0.0001140386,0.0001282992,0.0005133731,0.003008442,0.0009116785,0.001634894,0.8817012,0.00007398247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001259222,0.00008307005,0.00006194619,0.0002443188,0.00006361328,0.000007041445,0.9961689,0.000178388,0.001933435],"genre_scores_gemma":[0.004651966,0.00008929785,0.0001480296,0.0001698711,0.00003829311,0.00005583807,0.9891766,0.00008388165,0.005586241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06031452,"threshold_uncertainty_score":0.2017722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162715154545638,"score_gpt":0.2627633917306907,"score_spread":0.2411362401852344,"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."}}