{"id":"W4367840001","doi":"10.32920/22748633","title":"The Local News Map: Tell us what is happening to local news in your community","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Closing (real estate); Happening; Service (business); News bureau; Advertising; Political science; History; Media studies; Geography; Business; Sociology; Law; Marketing","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":[0.0008452777,0.000645852,0.0003349613,0.004707017,0.002085006,0.005346881,0.0007209761,0.0009434053,0.08565556],"category_scores_gemma":[0.00794783,0.0004916869,0.0003220335,0.01024922,0.0006020482,0.00403525,0.002249992,0.001228888,0.05703721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827083,"about_ca_system_score_gemma":0.00349659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2459624,"about_ca_topic_score_gemma":0.4243644,"domain_scores_codex":[0.9994904,0.00006359001,0.00002171796,0.00008642206,0.0002476807,0.00009022419],"domain_scores_gemma":[0.9960153,0.0006343942,0.0002499687,0.0004671531,0.001690147,0.0009430337],"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":[0.00003379992,0.00001400222,0.003739293,0.0001628101,0.00001066604,0.00006229956,0.0009965696,0.0001208064,0.0001792981,0.0009755678,0.9608687,0.03283611],"study_design_scores_gemma":[0.00001828288,0.0000107242,0.01573375,0.0001472432,0.00001793627,0.00005537693,0.003674118,0.0005712201,0.0005654775,0.001706445,0.9774635,0.00003603349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01779344,0.001856256,0.008686842,0.01586949,0.001305857,0.0003197816,0.7013451,0.0173847,0.2354385],"genre_scores_gemma":[0.1205629,0.004926282,0.05064704,0.002891366,0.0009297527,0.0008027327,0.6050401,0.008143636,0.2060562],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2459624,"threshold_uncertainty_score":0.4890615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07500799991922757,"score_gpt":0.3102316716660541,"score_spread":0.2352236717468266,"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."}}