{"id":"W4200315954","doi":"10.1111/gean.12309","title":"In memoriam: Martin Charlton","year":2021,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bespoke; Regional science; Geography; Cartography; Newcastle upon tyne; Library science; Sociology; Media studies; History; Political science; Art history; Computer science","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":[0.003174998,0.001593475,0.001643099,0.001584481,0.002969424,0.006123048,0.001858739,0.003926985,0.04908356],"category_scores_gemma":[0.01942043,0.0004564564,0.0008588437,0.0006931231,0.001674604,0.004450724,0.003666482,0.0110088,0.03837598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003643684,"about_ca_system_score_gemma":0.005164974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684361,"about_ca_topic_score_gemma":0.005257158,"domain_scores_codex":[0.9969438,0.0005292809,0.0001474409,0.0006769977,0.001359503,0.0003429637],"domain_scores_gemma":[0.9913164,0.001265939,0.0004624026,0.0001793722,0.003945012,0.002830876],"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":[0.000007610261,0.000003004749,0.00003041,0.00002075251,0.000001345404,0.00003889676,0.00004020747,0.000009224254,0.00001413279,0.0005052407,0.9953223,0.004006845],"study_design_scores_gemma":[0.000004743173,0.000009183802,0.0001319456,0.0001462739,0.00000252505,0.0001671471,0.0001246957,0.00002760644,0.00004885388,0.0005963967,0.9987316,0.000009198106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003250593,0.02555472,0.0005881574,0.5014303,0.4573839,0.00003750921,0.0004355618,0.0002451618,0.01399959],"genre_scores_gemma":[0.01302266,0.03611819,0.001212719,0.2964467,0.2918212,0.0002218952,0.000761238,0.0006117577,0.3597836],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04908356,"threshold_uncertainty_score":0.1642008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192360579557762,"score_gpt":0.2145108785011758,"score_spread":0.1952748205453996,"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."}}