{"id":"W4367839948","doi":"10.32920/22750610.v1","title":"Discordant or just different? A comparison of community newspaper data in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Snapshot (computer storage); Journalism; Media studies; Political science; Sociology; Computer science; Database","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":[0.007508051,0.0005051801,0.001179292,0.01695653,0.006595434,0.008976694,0.002911796,0.0009760648,0.006040255],"category_scores_gemma":[0.04860043,0.0006856844,0.000695648,0.05084832,0.002678573,0.00197128,0.003540453,0.001278147,0.0009237336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05500593,"about_ca_system_score_gemma":0.06423708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969086,"about_ca_topic_score_gemma":0.998206,"domain_scores_codex":[0.9888387,0.001816812,0.000980122,0.001344436,0.004133605,0.002886258],"domain_scores_gemma":[0.9203287,0.01508656,0.008102569,0.003010804,0.04931504,0.004156479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005344318,0.0001278184,0.8841718,0.0007031978,0.0007662694,0.0005944474,0.05067622,0.0005137346,0.0006862794,0.00413995,0.02742831,0.02965748],"study_design_scores_gemma":[0.00001827386,0.00001551112,0.9563969,0.0002364578,0.0001336095,0.00006612282,0.02727511,0.0002815519,0.0001988576,0.00011973,0.01519747,0.00006047874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263973,0.004279605,0.0003563718,0.004634153,0.0001139077,0.0001543366,0.04011175,0.0000488014,0.02390394],"genre_scores_gemma":[0.9772056,0.001415928,0.0004600792,0.0005978447,0.00004019755,0.00006644733,0.01691536,0.00007881806,0.003219589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05500593,"threshold_uncertainty_score":0.3990979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3286049101623179,"score_gpt":0.4183000482055457,"score_spread":0.08969513804322782,"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."}}