{"id":"W7072085834","doi":"","title":"Wärtsilä’s reports satisfactory performance supported by good fourth quarter","year":2017,"lang":"en","type":"other","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Data collection; Government (linguistics)","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":[0.003161836,0.001259967,0.000925001,0.00238122,0.002479517,0.004308655,0.001224563,0.001977019,0.07225984],"category_scores_gemma":[0.009076001,0.0003293118,0.0006892646,0.001905751,0.0009344095,0.001815773,0.002628085,0.001962611,0.0668295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790676,"about_ca_system_score_gemma":0.003379697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007008768,"about_ca_topic_score_gemma":0.01120597,"domain_scores_codex":[0.9972624,0.0002493069,0.0001311297,0.0002361601,0.001464465,0.0006565142],"domain_scores_gemma":[0.992132,0.0008392619,0.0001750308,0.001116636,0.003786874,0.001950098],"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":[0.0009982418,0.0008372165,0.006155852,0.0002167776,0.0000807633,0.0005080334,0.0004644507,0.003096802,0.009531652,0.0118607,0.6492579,0.3169917],"study_design_scores_gemma":[0.0001572313,0.0009772507,0.009417445,0.00008518869,0.00004106265,0.0006698859,0.0007323938,0.01183425,0.03317001,0.00610162,0.9367068,0.0001069179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1294055,0.001931005,0.02556716,0.04639069,0.01472756,0.0004227802,0.006667477,0.02982895,0.745059],"genre_scores_gemma":[0.407547,0.001560819,0.0241438,0.004293886,0.001674974,0.0001686206,0.01091937,0.002661613,0.5470299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07225984,"threshold_uncertainty_score":0.2417333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100242053979416,"score_gpt":0.2312635281474024,"score_spread":0.2202611076076082,"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."}}