{"id":"W6989480069","doi":"","title":"Avient Updates Third Quarter and Full Year 2022 Forecast","year":2022,"lang":"en","type":"other","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economic forecasting; Work (physics)","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":[0.0008420111,0.001902943,0.0008908983,0.002076062,0.0007607547,0.002904768,0.001348498,0.002552494,0.1213168],"category_scores_gemma":[0.002719989,0.0005640419,0.0008162701,0.00205311,0.0003057066,0.002245168,0.0008839252,0.002699779,0.09915087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004205592,"about_ca_system_score_gemma":0.005094593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.234341,"about_ca_topic_score_gemma":0.1834216,"domain_scores_codex":[0.9992613,0.00004734701,0.00002089729,0.00005469664,0.0005025705,0.000113265],"domain_scores_gemma":[0.9988145,0.0000811911,0.00006187718,0.00004818117,0.0008380598,0.0001562947],"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":[0.00005838232,0.00001612797,0.0001455619,0.00002809532,0.00000309374,0.00001304162,0.00000336076,0.001983915,0.00006692348,0.0007814326,0.9895123,0.007387809],"study_design_scores_gemma":[0.00007046406,0.00002866878,0.001818773,0.00006449731,0.00001199276,0.00001271888,0.00002916917,0.00630734,0.0003306317,0.002083309,0.9892152,0.00002737886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004569992,0.001439579,0.005278119,0.008741865,0.01767357,0.00025614,0.5657519,0.005491168,0.3907977],"genre_scores_gemma":[0.02223927,0.001653292,0.005154846,0.002784127,0.001402555,0.0003931438,0.3322611,0.0024181,0.6316935],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.234341,"threshold_uncertainty_score":0.4659539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0041061939646393,"score_gpt":0.1862620748806817,"score_spread":0.1821558809160424,"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."}}