{"id":"W4362600887","doi":"10.1177/13675494231164874","title":"ECS-Ecrea Early Career Scholar Prize winner - An astrological genealogy of artificial intelligence: From ‘pseudo-sciences’ of divination to sciences of prediction","year":2023,"lang":"en","type":"article","venue":"European Journal of Cultural Studies","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Divination; Astrology; Epistemology; MAGIC (telescope); Representation (politics); Narrative; Sociology; History; Literature; Art; Philosophy; Politics; Classics","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":[0.002763898,0.000464296,0.0004375561,0.001982723,0.003146281,0.01616451,0.000809327,0.001594047,0.02997151],"category_scores_gemma":[0.007594906,0.0002187713,0.0004023791,0.00236339,0.003751678,0.004661902,0.004412411,0.002769257,0.006851502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004552942,"about_ca_system_score_gemma":0.003822878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008984032,"about_ca_topic_score_gemma":0.0188944,"domain_scores_codex":[0.998642,0.0003378197,0.00006104843,0.0002273266,0.0005156631,0.0002160313],"domain_scores_gemma":[0.9963748,0.0009891484,0.000251913,0.0003837538,0.001186712,0.0008136241],"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":[0.0002209,0.0000696534,0.006328986,0.0003627441,0.00002718113,0.0009256976,0.01040198,0.0003708892,0.00111693,0.4499771,0.407345,0.122853],"study_design_scores_gemma":[0.000006119763,0.00003220332,0.003015582,0.0002569027,0.000008494359,0.0003303481,0.005466666,0.0001348553,0.0006297125,0.01488698,0.9752147,0.00001753169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05042416,0.01664922,0.005954615,0.1387859,0.02385709,0.00007338813,0.001116076,0.0004025522,0.7627369],"genre_scores_gemma":[0.3720914,0.01718723,0.007132015,0.00916117,0.005211861,0.0001065859,0.0008370649,0.0008348144,0.5874379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9968537,"threshold_uncertainty_score":0.1002647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104516387378054,"score_gpt":0.2876219711523082,"score_spread":0.1831055837742542,"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."}}