{"id":"W6977881052","doi":"10.7916/d8-4ac7-fq81","title":"May Watkis","year":2020,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Government (linguistics); Period (music); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005264843,0.0005859087,0.0002215025,0.001146559,0.006023936,0.004520125,0.0006089589,0.001169037,0.1932368],"category_scores_gemma":[0.002990501,0.0002625678,0.000179948,0.0007794002,0.001248118,0.002247826,0.001802047,0.001714027,0.04907638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005267609,"about_ca_system_score_gemma":0.005082233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280526,"about_ca_topic_score_gemma":0.3127593,"domain_scores_codex":[0.9993886,0.00006713736,0.00001329262,0.0001532849,0.0002459284,0.0001317704],"domain_scores_gemma":[0.998722,0.0001068205,0.00004084262,0.00005305244,0.0005413119,0.0005358613],"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":[0.00003227872,0.00001462545,0.0004900463,0.00005963454,0.000002402202,0.0002907527,0.001202423,0.00003777301,0.0003294605,0.02353151,0.9460033,0.02800592],"study_design_scores_gemma":[9.30978e-7,0.000002606969,0.000323573,0.00002942035,8.047951e-7,0.00008078472,0.0005865684,0.00002144452,0.0000801835,0.0005399749,0.9983292,0.000004486073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007017042,0.01383221,0.001027085,0.07210114,0.01109231,0.00006285028,0.0008448382,0.0004806233,0.8935419],"genre_scores_gemma":[0.01717413,0.003313437,0.0002586007,0.003822848,0.0004480291,0.00001438964,0.0001275432,0.000123826,0.9747172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8067632,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011867740546132,"score_gpt":0.2015746568736398,"score_spread":0.1514559794681785,"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."}}