{"id":"W3164319621","doi":"","title":"Deep in the Karst: Foundations for a Career in Geography","year":2024,"lang":"en","type":"article","venue":"DigitalCommons - Kennesaw State University (Kennesaw State University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographer; Geography; Karst; Field (mathematics); Human geography; Representation (politics); Cave; Value (mathematics); Obligation; Cartography; Archaeology; Economic geography; Computer science; Political science; Law; Politics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003536789,0.000376706,0.000365721,0.00195442,0.0007593646,0.0007255495,0.0008186487,0.00007942583,0.0001852244],"category_scores_gemma":[0.00002649322,0.0003739508,0.0003724025,0.001191637,0.0006001599,0.001918971,0.0002178102,0.0004084737,0.0000668149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083371,"about_ca_system_score_gemma":0.0001688828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003761882,"about_ca_topic_score_gemma":0.2222933,"domain_scores_codex":[0.9978533,0.0002013257,0.0003072094,0.0006252161,0.0002839853,0.0007289882],"domain_scores_gemma":[0.9985883,0.0005348079,0.00009720277,0.0003985285,0.0002355483,0.0001456138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004257789,0.0008976682,0.01875408,0.0002841712,0.0004304613,0.002954245,0.0530945,0.0008679141,0.00002276878,0.9082191,0.006625362,0.007423985],"study_design_scores_gemma":[0.001302085,0.000168674,0.004875521,0.0001036902,0.0000872209,0.000006269814,0.02542396,0.001975787,0.000005349688,0.006776899,0.9587011,0.0005734272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8229522,0.0001621354,0.0009485189,0.001439659,0.0006901558,0.001407295,0.002566354,0.0002328114,0.1696009],"genre_scores_gemma":[0.988635,0.000240507,0.00003341012,0.00008989019,0.0000560182,0.000002822818,0.0003472969,0.00003333125,0.01056171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9520758,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277733411054447,"score_gpt":0.2086679771875294,"score_spread":0.1808946360820847,"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."}}