{"id":"W4385496896","doi":"10.7202/1102340ar","title":"Maps in Translation: Following Maps Through Maritime Search and Rescue Operations in Northern Norway","year":2023,"lang":"en","type":"article","venue":"Material Culture Review","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic map; Search and rescue; Geography; Cartography; Translation (biology); History; Computer science; Artificial intelligence; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001418779,0.0001078124,0.0003091274,0.00007598483,0.0003298665,0.0001618041,0.0001168941,0.00008564589,0.00006460206],"category_scores_gemma":[0.00006501124,0.00008893307,0.00006143823,0.0009982097,0.00006255368,0.0005881201,0.00003924356,0.00009282374,0.0001547681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004437658,"about_ca_system_score_gemma":0.00004271777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00664859,"about_ca_topic_score_gemma":0.155435,"domain_scores_codex":[0.9985592,0.0002943097,0.0004334348,0.0001596286,0.0002904975,0.0002629113],"domain_scores_gemma":[0.9997663,0.0000193676,0.00001674391,0.0001013017,0.00006301574,0.00003329534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000606241,0.0001515351,0.08497614,0.01767533,0.000233855,0.0001885941,0.7556952,0.0006935495,0.001042776,0.0992663,0.008227528,0.03178861],"study_design_scores_gemma":[0.001149306,0.0000439594,0.02107295,0.008025744,0.00005243181,0.000007450167,0.02451117,0.00002474999,0.00002367386,0.0009045875,0.9435362,0.0006478246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7727444,0.09314366,0.00004829694,0.03543524,0.002792018,0.008499952,0.000319401,0.0004639616,0.08655305],"genre_scores_gemma":[0.8828221,0.1127849,0.0005733713,0.0006447266,0.0003665741,0.0004558688,0.0003119447,0.00001979389,0.002020677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9353086,"threshold_uncertainty_score":0.9999662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813071914309159,"score_gpt":0.3378652298038578,"score_spread":0.2897345106607662,"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."}}