{"id":"W4235387205","doi":"10.3138/cart.53.2.146","title":"Back Matter","year":2018,"lang":"en","type":"paratext","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001642785,0.0006681984,0.000494921,0.002815019,0.001190869,0.002758645,0.001432512,0.0006122467,0.01582941],"category_scores_gemma":[0.0001553021,0.0004948119,0.0007138543,0.0009608594,0.0006659818,0.002200827,0.0002526524,0.0007645325,0.04367293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089421,"about_ca_system_score_gemma":0.000209974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005150362,"about_ca_topic_score_gemma":0.00002148763,"domain_scores_codex":[0.9957135,0.0001985667,0.001700257,0.0003655512,0.001407282,0.0006148217],"domain_scores_gemma":[0.9924488,0.0002094501,0.002114595,0.0004472555,0.004523078,0.0002567982],"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":[0.0002964232,0.00003760473,0.0006771413,0.0001011587,0.0007638627,4.056271e-7,0.0006561155,0.00008379704,0.00001778439,0.001257866,0.9950134,0.001094496],"study_design_scores_gemma":[0.001546533,0.0001659016,0.0005516963,0.0002939502,0.0002041053,0.0004280224,0.0002728698,0.001261438,0.00004374215,0.001012303,0.9936273,0.0005921587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01867789,0.008680085,0.1453629,0.02221888,0.1565685,0.01272363,0.01663987,0.0003926474,0.6187356],"genre_scores_gemma":[0.103441,0.07090018,0.004407824,0.104829,0.05136649,0.002815649,0.1174212,0.00195273,0.5428659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1409551,"threshold_uncertainty_score":0.9997504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130993598540124,"score_gpt":0.3028436011204156,"score_spread":0.2897442412664032,"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."}}