{"id":"W2251129676","doi":"","title":"The art of slowness: Hastening of history","year":2011,"lang":"en","type":"article","venue":"Tópicos del seminario","topic":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Slowness; Computer science; History; Geology; Seismology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003027252,0.00005742077,0.00009317891,0.00005995347,0.00006476311,0.000002511113,0.0002645909,0.00004956329,0.007779402],"category_scores_gemma":[0.000040663,0.00004234747,0.00005425204,0.0001107198,0.0002967105,0.00004503992,0.00002183528,0.0000838968,0.0003908333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844916,"about_ca_system_score_gemma":0.00008258875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003480906,"about_ca_topic_score_gemma":0.00009406874,"domain_scores_codex":[0.9993643,0.00004677616,0.0002168909,0.0001195336,0.0001132817,0.0001392167],"domain_scores_gemma":[0.9992902,0.00009299101,0.0001293582,0.0003640232,0.00008075864,0.00004263066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001156459,0.0006931954,0.06231875,0.00001791426,0.00006037704,0.000002805981,0.2642368,0.000002989144,0.01048361,0.04804414,0.5698366,0.04418718],"study_design_scores_gemma":[0.0003009877,0.0002079184,0.4336905,0.00003736417,0.00003864884,0.00002654699,0.02411071,0.00004632949,0.0007162632,0.0006951324,0.5399669,0.0001627079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6543167,0.0008002048,0.0006456692,0.0002384379,0.002539398,0.0001184044,0.000002766333,0.00002398267,0.3413144],"genre_scores_gemma":[0.9421156,0.00001336273,0.0005726069,0.0001155819,0.00004783581,0.00001923295,0.000001966168,0.000006460763,0.05710733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3713717,"threshold_uncertainty_score":0.9931276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301713335685278,"score_gpt":0.3204650989539462,"score_spread":0.1902937653854184,"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."}}