{"id":"W4401458770","doi":"10.1007/s41693-024-00129-7","title":"Robot excess: machine histories and a hermeneutics of movement","year":2024,"lang":"en","type":"article","venue":"Construction Robotics","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Narrative; Context (archaeology); Artificial intelligence; Robotics; Documentation; Interpretation (philosophy); Computer science; Hermeneutics; Robot; Epistemology; Data science; Cognitive science; Sociology; Human–computer interaction; Psychology; History; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001181255,0.0001135423,0.000156185,0.0001827787,0.00008281445,0.0000732051,0.0003301926,0.00006803784,0.000003941953],"category_scores_gemma":[0.00002828924,0.0001138528,0.000034143,0.0002938417,0.0003570362,0.0001834002,0.0002490703,0.0001348326,0.0000034904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017699,"about_ca_system_score_gemma":0.00007902824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005926047,"about_ca_topic_score_gemma":0.00000380908,"domain_scores_codex":[0.9991781,0.00002120727,0.0002389712,0.0002556628,0.0001726555,0.0001333903],"domain_scores_gemma":[0.999413,0.00005931202,0.0000730698,0.0003523213,0.00006654239,0.0000358123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001688369,0.00001863204,0.0007371873,0.0001585301,0.00003577795,0.00001418233,0.0008229718,0.006556799,0.002001665,0.8579789,0.0006029959,0.1310707],"study_design_scores_gemma":[0.0004787933,0.0003478299,0.001105945,0.0003129679,0.00008319096,0.0003590298,0.0004496744,0.7106884,0.01093932,0.2264589,0.04802159,0.0007543204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004003518,0.002152712,0.9877428,0.001922643,0.002521402,0.00008607248,0.000002423334,0.0008406437,0.0007278219],"genre_scores_gemma":[0.4843782,0.00007412238,0.5152969,0.00004402311,0.00002803684,0.000002188076,7.648904e-7,0.000008011874,0.0001676898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7041316,"threshold_uncertainty_score":0.4642783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115033528502293,"score_gpt":0.22286909429523,"score_spread":0.2117187590102071,"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."}}