{"id":"W4243323888","doi":"10.1016/s1365-6937(20)30005-8","title":"Alfa Laval commits to zero-emission vessels","year":2020,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zero emission; Zero (linguistics); Engineering; Philosophy; Linguistics; Waste management","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":[0.003579893,0.0006136497,0.0004019729,0.0007263931,0.002666508,0.008798903,0.001344527,0.007982212,0.0151788],"category_scores_gemma":[0.00872056,0.000306987,0.0007070532,0.0004442567,0.001370888,0.001489908,0.003353525,0.00831887,0.005156195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003752763,"about_ca_system_score_gemma":0.01117942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05049216,"about_ca_topic_score_gemma":0.04074575,"domain_scores_codex":[0.9955204,0.0002722022,0.00008405359,0.0004745581,0.002628132,0.001020711],"domain_scores_gemma":[0.9961798,0.0004462468,0.0002153653,0.0004066811,0.001390242,0.001361582],"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":[0.000368605,0.000174935,0.003760348,0.0001004011,0.00004595698,0.0007868448,0.0002582691,0.0006864904,0.00389253,0.1555099,0.7787678,0.05564801],"study_design_scores_gemma":[0.00002050351,0.00004391118,0.001571323,0.00001655842,0.00000616714,0.00006120318,0.00005238032,0.0002235398,0.0006188525,0.001922765,0.9954478,0.00001500727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04383548,0.003802708,0.008461768,0.1623831,0.02942872,0.0002286373,0.002291456,0.002438531,0.7471296],"genre_scores_gemma":[0.1489311,0.001042893,0.006090169,0.04329319,0.003404284,0.0001050653,0.001733022,0.0006931809,0.7947072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05049216,"threshold_uncertainty_score":0.1003965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07963707045052877,"score_gpt":0.2670589857572153,"score_spread":0.1874219153066866,"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."}}