{"id":"W6927150585","doi":"10.25446/oxford.25019018.v1","title":"12464: A Patriotic Huntly Family","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Newspaper; Census; Reputation; Cousin; Government (linguistics)","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":[0.0007257219,0.0008170432,0.0006326221,0.0007919638,0.02448406,0.003890021,0.001047278,0.002277541,0.04538141],"category_scores_gemma":[0.001694725,0.0006189446,0.0002291197,0.0009441799,0.003011408,0.003881205,0.003870555,0.005473605,0.01281551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030321,"about_ca_system_score_gemma":0.003115367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06611972,"about_ca_topic_score_gemma":0.1301454,"domain_scores_codex":[0.999325,0.0001804783,0.0000117036,0.00007164569,0.0001562568,0.0002549083],"domain_scores_gemma":[0.9993631,0.00005070614,0.0000344183,0.00002044973,0.0001177459,0.0004135439],"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":[0.00003034349,0.0001460437,0.002407344,0.00004615133,0.000006962721,0.004949529,0.1107157,0.0000193203,0.0002894831,0.009689708,0.8441241,0.02757529],"study_design_scores_gemma":[0.000006564096,0.00005129286,0.002391181,0.0001635158,0.000005677687,0.003366625,0.1326738,0.00003873188,0.00007245176,0.001447414,0.859748,0.00003477547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2042178,0.01037328,0.001318307,0.2052031,0.007764217,0.0003267397,0.001274196,0.0004865195,0.5690359],"genre_scores_gemma":[0.1951998,0.005563281,0.0008514181,0.06474025,0.000656198,0.000232908,0.000410129,0.000276533,0.7320694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06611972,"threshold_uncertainty_score":0.1518159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06114979852155959,"score_gpt":0.3136083680604098,"score_spread":0.2524585695388502,"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."}}