{"id":"W7029586604","doi":"","title":"LDOW 2016 : Proceedings of the Workshop on Linked Data on the web, LDOW 2016, co-located with 25th International World Wide Web Conference(WWW 2016); Montreal, Canada, April 12th, 2016","year":2016,"lang":"en","type":"other","venue":"MADOC (University of Mannheim)","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Linked data; Semantic Web; Real world data; The Internet; Web site; World wide","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005993299,0.0004073573,0.0005292799,0.0003301452,0.0005341027,0.0000688744,0.003309862,0.0002934433,0.007009177],"category_scores_gemma":[0.0001249399,0.0002616744,0.0001166706,0.0003532399,0.001177791,0.0002639954,0.0004245315,0.0004857701,0.0001572327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003982548,"about_ca_system_score_gemma":0.003308221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2602367,"about_ca_topic_score_gemma":0.8091292,"domain_scores_codex":[0.9969835,0.0001378306,0.0002492917,0.0007104529,0.001376915,0.0005420092],"domain_scores_gemma":[0.9975078,0.0002991074,0.0008866064,0.0007734293,0.000311373,0.0002217088],"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":[0.0001601978,0.00007759988,0.0005629818,0.00003311806,0.0002573323,0.00001213513,0.001125324,0.000001551269,0.00003869624,0.002126228,0.9924937,0.003111172],"study_design_scores_gemma":[0.0009074414,0.00003978044,0.001523416,0.003072402,0.0001354927,9.831256e-7,0.008585894,0.0001212368,0.00001852996,0.0001305569,0.985055,0.0004092817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002936993,0.0002761007,0.00003724674,0.02204177,0.0009608123,0.000910765,0.001126255,0.00009515586,0.9716149],"genre_scores_gemma":[0.04028062,0.002582769,0.00006219619,0.0004580733,0.0004564016,0.000001839222,0.00008593472,0.00009129894,0.9559808],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5488924,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904318721509673,"score_gpt":0.2494773621725394,"score_spread":0.2104341749574427,"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."}}