{"id":"W2894655095","doi":"10.3138/cart.53.3.2017-0014","title":"The Impact of Map Type on the Level of Student Map Skills","year":2018,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Thematic map; Concept map; Cartography; Interpretation (philosophy); Thematic analysis; Identification (biology); Qualitative research; Geography; Mathematics education; Psychology; Computer science; Sociology; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004014018,0.0003075002,0.0005005265,0.001199656,0.0004935264,0.003155665,0.0007649904,0.000620508,0.006342401],"category_scores_gemma":[0.03987416,0.0002408345,0.0004896622,0.0009234019,0.0009684667,0.001412388,0.001619179,0.0008977019,0.001075144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296952,"about_ca_system_score_gemma":0.0007604003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160438,"about_ca_topic_score_gemma":0.001572432,"domain_scores_codex":[0.9958021,0.001206922,0.0003483531,0.0004860344,0.001502723,0.0006538001],"domain_scores_gemma":[0.955645,0.03112191,0.003165464,0.001800423,0.004874058,0.00339324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001120275,0.001883527,0.8984362,0.0002571298,0.000156388,0.0005425677,0.02325068,0.00086769,0.00679533,0.000558012,0.000688207,0.06544403],"study_design_scores_gemma":[0.00002103397,0.001399459,0.9776405,0.00004813461,0.0000549747,0.0002655546,0.01383404,0.001124612,0.003351121,0.000498255,0.001722566,0.00003994471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998007,0.00003860873,0.0002075042,0.00004537976,0.000005915558,0.00001086401,0.00002731958,0.00001111362,0.001646232],"genre_scores_gemma":[0.9989213,0.00003637857,0.0001812836,0.000008777181,0.000002736359,0.00001158949,0.00002928025,0.000007255855,0.0008015347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006342401,"threshold_uncertainty_score":0.02122837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05896595496968964,"score_gpt":0.4286612568549503,"score_spread":0.3696953018852607,"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."}}