{"id":"W2078210209","doi":"10.1057/sub.2009.18","title":"Anticipation: Technoscience, life, affect, temporality","year":2009,"lang":"en","type":"article","venue":"Subjectivity","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":1041,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's and Gender Studies et Recherches Féministes; University of Toronto","funders":"","keywords":"Temporality; Temporalities; Framing (construction); Anticipation (artificial intelligence); Technoscience; Sociology; Futures contract; Epistemology; Perception; Social psychology; Psychology; Aesthetics; Political science; Law; Social science; Engineering; Economics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00122865,0.0004307839,0.0002113644,0.0006127316,0.0006720265,0.00382971,0.0003389879,0.0009556236,0.009143255],"category_scores_gemma":[0.006660342,0.0001350566,0.0001941913,0.0009520906,0.001943269,0.001929499,0.001170086,0.001313927,0.0003702565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000742441,"about_ca_system_score_gemma":0.0008096151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354115,"about_ca_topic_score_gemma":0.001412001,"domain_scores_codex":[0.9995852,0.0001763937,0.00002106237,0.00009009998,0.00009340902,0.00003381564],"domain_scores_gemma":[0.9961817,0.002493259,0.000791076,0.0001268827,0.0001839858,0.0002231848],"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":[0.002035376,0.0006884868,0.1010359,0.002576689,0.0003170451,0.003069366,0.0328861,0.006271282,0.0376383,0.454717,0.009895611,0.3488688],"study_design_scores_gemma":[0.0001735333,0.001139453,0.4316267,0.001548536,0.0005234728,0.00713222,0.02834616,0.01049598,0.006089014,0.4338917,0.07872621,0.0003070261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6783773,0.03475329,0.04349636,0.01199594,0.001188608,0.00008918834,0.0006103799,0.0002355921,0.2292533],"genre_scores_gemma":[0.9857022,0.003302964,0.004139223,0.000592578,0.0003469906,0.00003771754,0.00007272811,0.0000407615,0.005764859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.999328,"threshold_uncertainty_score":0.03058726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09760265198843388,"score_gpt":0.365313997288334,"score_spread":0.2677113452999001,"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."}}