{"id":"W7075576470","doi":"","title":"Response: Calimach on Verstraete on Calimach","year":2017,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Pattern recognition (psychology); Volume (thermodynamics); Term (time)","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":[0.00346229,0.001817255,0.002120631,0.001911587,0.007601217,0.006431298,0.00273078,0.0409046,0.04402287],"category_scores_gemma":[0.02639585,0.0007869622,0.001348131,0.001825444,0.003479568,0.005226977,0.00600606,0.03963596,0.02204882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009372199,"about_ca_system_score_gemma":0.01205294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05242494,"about_ca_topic_score_gemma":0.07350638,"domain_scores_codex":[0.9962348,0.0006033328,0.0003268921,0.0005421188,0.001211468,0.00108131],"domain_scores_gemma":[0.9895761,0.00351008,0.0006982015,0.0003323912,0.003960522,0.00192272],"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":[0.00001158283,0.000002904256,0.00003773976,0.00001382229,0.00000125175,0.00003091415,0.00004142807,0.000006479304,0.00001864493,0.0003252727,0.9988192,0.0006907593],"study_design_scores_gemma":[0.00001794287,0.000009891263,0.0004810362,0.0001629336,0.000004697129,0.00004183313,0.0005448414,0.00003245281,0.00005719443,0.0006706312,0.9979493,0.00002722196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002470151,0.001927624,0.00008290492,0.875103,0.1180878,0.00004411941,0.0003558696,0.00009393014,0.00405772],"genre_scores_gemma":[0.001324952,0.0009476863,0.00005797023,0.9268151,0.02679571,0.00006779947,0.0001114559,0.00008532895,0.04379409],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05242494,"threshold_uncertainty_score":0.1472712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05924402914017404,"score_gpt":0.2339177830738987,"score_spread":0.1746737539337246,"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."}}