{"id":"W4281923114","doi":"10.5194/agile-giss-3-7-2022","title":"Six GIScience Ideas That Must Die","year":2022,"lang":"en","type":"article","venue":"AGILE GIScience Series","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Slogan; Epistemology; Sociology; Geoinformatics; Engineering ethics; Data science; Computer science; Political science; Philosophy; Engineering; Law; Geography","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":[0.01526316,0.0009933056,0.0007367798,0.002252962,0.005929866,0.0151092,0.001935511,0.006308033,0.00642682],"category_scores_gemma":[0.01937041,0.0006037114,0.0007380599,0.002193993,0.03657163,0.0264169,0.008427653,0.02071226,0.002166337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004877236,"about_ca_system_score_gemma":0.005273886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511995,"about_ca_topic_score_gemma":0.001767103,"domain_scores_codex":[0.988695,0.006840845,0.0004416548,0.001139248,0.002376584,0.0005067926],"domain_scores_gemma":[0.9845026,0.009182844,0.0005524536,0.001267182,0.00300021,0.001494729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001390309,0.00001366146,0.0001262843,0.00009559204,0.000006559154,0.00005234925,0.006588838,0.00008215204,0.00007737699,0.9433181,0.03947192,0.0101533],"study_design_scores_gemma":[0.00001017992,0.00001414666,0.0001190616,0.0003753725,0.000004911643,0.00009757053,0.009042106,0.0001796981,0.0001361798,0.6356016,0.3543987,0.00002045825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006016656,0.04435745,0.05303972,0.7375914,0.01919834,0.00007909419,0.0001358899,0.0003050276,0.1392764],"genre_scores_gemma":[0.4667042,0.05180938,0.09423384,0.2643249,0.01335633,0.0006807593,0.0005024149,0.001189879,0.1071982],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01526316,"threshold_uncertainty_score":0.08072025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813400605547749,"score_gpt":0.2795192859020048,"score_spread":0.2513852798465273,"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."}}