{"id":"W2013401435","doi":"10.4018/ijagr.2014010106","title":"Using the Retrospective Approach to Commemorate AutoCarto Six","year":2014,"lang":"en","type":"article","venue":"International Journal of Applied Geospatial Research","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Attribution; Library science; History; Computer science; Data science; Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08724139,0.0009654132,0.0007152614,0.006715008,0.01167221,0.02261467,0.004035066,0.00557731,0.009740159],"category_scores_gemma":[0.2529792,0.0009126407,0.0007699222,0.003236029,0.01346201,0.0226859,0.01445178,0.009915345,0.004972306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005200943,"about_ca_system_score_gemma":0.007375158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482072,"about_ca_topic_score_gemma":0.003319235,"domain_scores_codex":[0.9180093,0.05524242,0.003105819,0.005788404,0.01566624,0.002187799],"domain_scores_gemma":[0.7104585,0.142615,0.01925004,0.05591933,0.0597908,0.01196641],"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":[0.0004622493,0.0001366137,0.002891074,0.0005843799,0.00008375771,0.001608315,0.1483858,0.0006421268,0.003357919,0.5516589,0.158305,0.131884],"study_design_scores_gemma":[0.00001632165,0.0000741617,0.0004543731,0.0003810071,0.00001480704,0.0002548083,0.01408277,0.0002560877,0.000948563,0.04522433,0.9382147,0.00007799122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07264148,0.01119001,0.2535095,0.2882294,0.09618309,0.001258455,0.0005092925,0.002489854,0.2739888],"genre_scores_gemma":[0.5904549,0.005422892,0.165021,0.04233241,0.02817625,0.002155531,0.00061184,0.003931029,0.1618942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08724139,"threshold_uncertainty_score":0.4613821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248137636012377,"score_gpt":0.4327420287910384,"score_spread":0.3079282651898007,"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."}}