{"id":"W7043622234","doi":"","title":"Thermo Fisher Scientific Reports Third Quarter 2017 Results","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Subject (documents); Data collection; Table (database)","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":[0.003891121,0.002026335,0.001116332,0.005654394,0.002851128,0.006318216,0.002211353,0.001585641,0.4693118],"category_scores_gemma":[0.009543178,0.000513264,0.001736069,0.004608774,0.001030978,0.003539837,0.003201646,0.003324548,0.4648491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00428222,"about_ca_system_score_gemma":0.008685646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471063,"about_ca_topic_score_gemma":0.02182513,"domain_scores_codex":[0.9944744,0.0003455552,0.0001469452,0.0004042148,0.003905002,0.0007237562],"domain_scores_gemma":[0.9934931,0.0004880983,0.0002070388,0.00113887,0.003956369,0.0007164202],"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":[0.000154999,0.0001709879,0.0006325527,0.0002679583,0.000023618,0.0000465652,0.00002843809,0.0008498482,0.0006117971,0.01493177,0.929,0.0532814],"study_design_scores_gemma":[0.00003564654,0.00003329722,0.001232983,0.00009641497,0.00002659092,0.00004073087,0.00007229712,0.001027786,0.00424478,0.009510885,0.9836537,0.00002482696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002421749,0.0007854354,0.005249191,0.002803756,0.003278117,0.0002109079,0.05550719,0.003747787,0.9259958],"genre_scores_gemma":[0.01473666,0.001424979,0.004481026,0.0009766544,0.000767311,0.0003493918,0.06100611,0.004203507,0.9120544],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4693118,"threshold_uncertainty_score":0.7569623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032877982226725,"score_gpt":0.2203785729728154,"score_spread":0.2100497931505482,"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."}}