{"id":"W4386693830","doi":"10.33612/diss.778728110","title":"Dorset under the microscope","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microscope; Geography; Optics; Physics","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":[0.0009507486,0.0008906506,0.0005053214,0.002280022,0.002139216,0.001811834,0.001148174,0.001825131,0.1187448],"category_scores_gemma":[0.0008849108,0.0008070878,0.0005630551,0.001081303,0.0008273236,0.001799415,0.001591917,0.002767567,0.04049138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098353,"about_ca_system_score_gemma":0.002774966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00808454,"about_ca_topic_score_gemma":0.02198259,"domain_scores_codex":[0.9991121,0.00006676231,0.00007559132,0.0002438196,0.0003438309,0.0001578692],"domain_scores_gemma":[0.9992055,0.0001149305,0.00004753556,0.0001789722,0.0003329462,0.0001201621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004447401,0.0001970217,0.004381285,0.001290655,0.00008621554,0.003501822,0.0008976705,0.0007993193,0.5618168,0.03766807,0.1965483,0.1923681],"study_design_scores_gemma":[0.00005456739,0.0001587957,0.01644462,0.0005508145,0.00004687782,0.006435904,0.0007009492,0.002528705,0.05800386,0.00419575,0.9108042,0.00007508149],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06831628,0.0121143,0.1334442,0.005718335,0.006068837,0.001404328,0.0154647,0.009455701,0.7480134],"genre_scores_gemma":[0.1572095,0.01086835,0.3094188,0.004884302,0.0008893604,0.00159203,0.01653923,0.003021213,0.4955772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1187448,"threshold_uncertainty_score":0.3972408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304374003661955,"score_gpt":0.3459563822839604,"score_spread":0.3229126422473408,"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."}}