{"id":"W7033029647","doi":"","title":"Parsing, Linear Asymmetry, and &lt;i&gt;Wh&lt;/i&gt;-Movement","year":2020,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Work (physics); Term (time); Relation (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198678,0.0005317136,0.0005448021,0.001366789,0.0006696347,0.003257291,0.001118408,0.0009929707,0.04634144],"category_scores_gemma":[0.01470546,0.0005052468,0.0004919992,0.001377219,0.002224774,0.005610356,0.001551284,0.001496214,0.002695699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000900366,"about_ca_system_score_gemma":0.001089126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007359215,"about_ca_topic_score_gemma":0.003946141,"domain_scores_codex":[0.9988324,0.0003351278,0.00007771579,0.0003394867,0.0001632322,0.000252012],"domain_scores_gemma":[0.9942386,0.003154434,0.0009555431,0.001111473,0.0003569174,0.0001830415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002147079,0.0004162635,0.05757083,0.0004743802,0.0001591513,0.0008244427,0.00320141,0.004865228,0.02803622,0.5743769,0.01713091,0.3107972],"study_design_scores_gemma":[0.0003684556,0.0002666922,0.1877804,0.0002102335,0.0001774983,0.001927164,0.002267569,0.02561784,0.01159905,0.7552308,0.01438574,0.0001685687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6518691,0.002178843,0.06632153,0.007602388,0.0002877179,0.0001208911,0.004216166,0.001639386,0.2657639],"genre_scores_gemma":[0.9844802,0.0002279069,0.005803139,0.0003617686,0.00007801488,0.00004424709,0.000718031,0.0003341239,0.007952542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04634144,"threshold_uncertainty_score":0.1550276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002992144632789,"score_gpt":0.2253850996925597,"score_spread":0.2053551782462318,"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."}}