{"id":"W2071281930","doi":"10.1080/1464936042000317677","title":"Embodying emotion sensing space: introducing emotional geographies","year":2004,"lang":"en","type":"article","venue":"Social & Cultural Geography","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":721,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Space (punctuation); Sociology; Epistemology; Image (mathematics); Aesthetics; Cognitive psychology; Psychology; Social science; Computer science; Linguistics; Artificial intelligence; Art; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005742346,0.0003545645,0.0003496649,0.0007740321,0.005886809,0.0006960393,0.0003647104,0.0002744593,0.0002728094],"category_scores_gemma":[0.0002358562,0.00036086,0.0008345438,0.002390235,0.00155243,0.001348423,0.0001056745,0.0005905599,0.0001087088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666081,"about_ca_system_score_gemma":0.00008260009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034909,"about_ca_topic_score_gemma":0.01101659,"domain_scores_codex":[0.9968097,0.0002415411,0.0004432159,0.0006228363,0.0009250088,0.0009576721],"domain_scores_gemma":[0.9985852,0.00007396466,0.0002724335,0.0001966555,0.0006669011,0.0002048115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002217441,0.0009938566,0.09259672,0.0001429749,0.001827507,0.00008641869,0.3393111,0.0011879,0.01612581,0.5110175,0.02275428,0.01373423],"study_design_scores_gemma":[0.001771766,0.0002230931,0.4678521,0.0002802503,0.0002729149,0.00003326483,0.4275846,0.00001203585,0.0004174073,0.061916,0.03773855,0.001898006],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646008,0.0003394381,0.00007492059,0.01152824,0.001640108,0.0004084613,0.00001890852,0.0006445805,0.02074454],"genre_scores_gemma":[0.9941598,0.0003001948,0.002270126,0.0003000354,0.002656101,0.00001132522,0.00006674842,0.0000313518,0.000204307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4491015,"threshold_uncertainty_score":0.9998843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241137918445588,"score_gpt":0.3129131245197886,"score_spread":0.2905017453353327,"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."}}