{"id":"W2264379374","doi":"10.1353/vcr.2014.0043","title":"“The True Logic of the Future”: Images of Prediction from the Marginal Revolution","year":2014,"lang":"en","type":"article","venue":"Victorian review","topic":"Political Economy and Marxism","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005635666,0.000380534,0.0007301717,0.001554857,0.001969049,0.00663053,0.00135389,0.002701428,0.003470791],"category_scores_gemma":[0.01232316,0.0002143371,0.0003104968,0.002056414,0.01575266,0.007070678,0.002612802,0.00676052,0.0007260546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008105491,"about_ca_system_score_gemma":0.01006916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892665,"about_ca_topic_score_gemma":0.02457685,"domain_scores_codex":[0.9968396,0.002032459,0.00008653558,0.0001911341,0.0006048268,0.0002453775],"domain_scores_gemma":[0.9951617,0.003234343,0.0002660093,0.0003066146,0.0008090865,0.0002223429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006479224,0.000009223824,0.000108834,0.0009010267,0.00001793293,0.00006064829,0.003248395,0.0002620668,0.00009733733,0.8722402,0.06274503,0.0602445],"study_design_scores_gemma":[0.00001177852,0.00001183633,0.0004952469,0.001883677,0.00001539127,0.00007728568,0.00150006,0.0002097185,0.00008642809,0.3744988,0.6211928,0.00001689401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003496689,0.6874791,0.003265916,0.2285191,0.005174817,0.00001238163,0.00008037613,0.00003130072,0.07194032],"genre_scores_gemma":[0.3225261,0.5756429,0.001889927,0.06302975,0.01122054,0.00007608173,0.0001341152,0.0001274963,0.025353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01892665,"threshold_uncertainty_score":0.0588097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066105296795005,"score_gpt":0.2634373033207371,"score_spread":0.2527762503527871,"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."}}