{"id":"W4406438536","doi":"10.1016/0967-0653(95)91127-p","title":"10.1016/0967-0653(95)91127-p","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrography; Haar; Political science; Humanities; Geography; Cartography; Computer science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003148693,0.0001110096,0.00014479,0.00009070205,0.0004867622,0.00005686236,0.0003210353,0.0001020868,0.9975411],"category_scores_gemma":[0.00003954367,0.0001125893,0.000180478,0.001117149,0.0001716882,0.0001189614,0.00001559742,0.0001139575,0.9919943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003722599,"about_ca_system_score_gemma":0.00004130066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006196735,"about_ca_topic_score_gemma":0.000008316782,"domain_scores_codex":[0.9987109,0.0001259528,0.000144561,0.0002367365,0.0003771966,0.0004045992],"domain_scores_gemma":[0.9993354,0.00005778317,0.00002281119,0.0002040477,0.0000524839,0.0003274542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000195472,0.00004551906,5.957182e-7,0.000001234662,0.000009957114,0.000002649232,0.0004813447,0.000003080424,0.000002118829,0.00004731799,0.4090116,0.5903751],"study_design_scores_gemma":[0.00008562947,0.00007465734,0.000022229,0.000005691746,0.0000142945,3.21383e-7,0.00002160313,0.000001686723,0.000003065099,0.00007641672,0.9995267,0.0001676556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001552839,0.0003125916,6.552512e-7,0.0004104809,0.000006014543,0.0001543145,0.000009419373,0.0002108582,0.9987404],"genre_scores_gemma":[0.0003814623,0.000003176743,0.00005441096,0.00008658951,0.0003092171,0.00002152025,0.000005167748,0.00001116967,0.9991273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5905152,"threshold_uncertainty_score":0.4591259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006428826712156613,"score_gpt":0.1900697306285537,"score_spread":0.1836409039163971,"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."}}