{"id":"W6959447908","doi":"","title":"From clump to disc scales in W3 IRS4","year":2020,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Star formation; Stars; Protein filament; Young stellar object; Millimeter; Line (geometry); Molecular cloud","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002180831,0.0001574807,0.0001507407,0.001083762,0.0005011332,0.001045468,0.0003925238,0.000241141,0.002098606],"category_scores_gemma":[0.0007458761,0.0001208025,0.0001999761,0.001086719,0.0006588104,0.0005191475,0.001251074,0.0003349932,0.0003345741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005720224,"about_ca_system_score_gemma":0.0002120458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007009475,"about_ca_topic_score_gemma":0.007705646,"domain_scores_codex":[0.999801,0.0000185278,0.00001184318,0.00006413215,0.00004514615,0.00005946683],"domain_scores_gemma":[0.9993935,0.00007225361,0.0003503725,0.00005060874,0.000037118,0.00009610869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003828404,0.00007067951,0.9521505,0.00008695925,0.00006601494,0.001347683,0.001841385,0.001471581,0.01120794,0.004851678,0.001599682,0.02492307],"study_design_scores_gemma":[0.000006868994,0.00002964163,0.9910961,0.00002320363,0.0000139644,0.000360595,0.0009400549,0.001413826,0.001097786,0.001348348,0.003659507,0.00001004649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921219,0.0001648945,0.0007131579,0.00005460665,0.000005562149,0.00001262951,0.0005369872,0.00004227792,0.006347974],"genre_scores_gemma":[0.9980312,0.0000429215,0.0007185668,0.00003132338,0.000005496467,0.000006061038,0.0006752317,0.00001468267,0.0004745582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007009475,"threshold_uncertainty_score":0.01393735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2016158347078377,"score_gpt":0.3523370066328697,"score_spread":0.150721171925032,"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."}}