{"id":"W3187548006","doi":"","title":"Disney misses on parks revenue, streaming subscribers but sees strong growth ahead","year":2021,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Earnings; Quarter (Canadian coin); Advertising; Business; Agricultural economics; Net income; Economics; Commerce; Finance; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002826102,0.0001633025,0.000223295,0.00006011716,0.000599308,0.000148635,0.0002149751,0.0001133759,0.0002323607],"category_scores_gemma":[0.0008786579,0.0001657451,0.00007876938,0.00050474,0.0001688156,0.0002658819,0.00004635021,0.0001629436,0.00003502321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040269,"about_ca_system_score_gemma":0.0003848638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390928,"about_ca_topic_score_gemma":0.002615057,"domain_scores_codex":[0.9982526,0.0001899679,0.0002060033,0.0003623999,0.0005015341,0.0004874958],"domain_scores_gemma":[0.9990814,0.0002019208,0.00008799777,0.0002247666,0.0002243211,0.0001796129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003052928,0.0016525,0.4399768,0.001388846,0.0004935759,0.00207286,0.1936047,0.0004685124,0.03378862,0.1059794,0.05323294,0.167036],"study_design_scores_gemma":[0.003998011,0.0002009003,0.4776448,0.003979633,0.0004570619,0.0000587776,0.2457135,0.0003364951,0.06288747,0.01615791,0.1844744,0.004090989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96897,0.0006710437,0.0004075593,0.002184796,0.001588246,0.0001341066,0.00003997677,0.0000899356,0.02591436],"genre_scores_gemma":[0.9928218,0.0002283359,0.0002373954,0.0002720764,0.0008676131,0.000007299862,0.00004416382,0.00002320124,0.005498117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.162945,"threshold_uncertainty_score":0.6758888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098585639032564,"score_gpt":0.3135576296766702,"score_spread":0.2725717732863445,"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."}}