{"id":"W4406132370","doi":"10.1080/19460171.2024.2449381","title":"Articulating AI futures for Brazil: on different regimes of technological solutionism","year":2025,"lang":"en","type":"article","venue":"Critical Policy Studies","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Futures contract; Sociology; Political science; Economic geography; Regional science; Economics; Financial economics","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":[0.01255861,0.0004334069,0.0004336358,0.001697271,0.00541431,0.01063032,0.0008129133,0.002310524,0.001485898],"category_scores_gemma":[0.01498342,0.000227557,0.0005009467,0.001447096,0.01808577,0.01060454,0.004695688,0.003287108,0.000152613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0128532,"about_ca_system_score_gemma":0.01098553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885893,"about_ca_topic_score_gemma":0.02732077,"domain_scores_codex":[0.9959245,0.00272376,0.00016852,0.0002627687,0.0004907092,0.0004298109],"domain_scores_gemma":[0.9913326,0.006483612,0.0006368757,0.0003926281,0.0008156605,0.00033862],"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":[0.000008860301,0.000004911993,0.0003593161,0.00005071801,0.000002323226,0.0001205099,0.03524236,0.0003591224,0.0002034139,0.9584882,0.0004325309,0.004727642],"study_design_scores_gemma":[0.00001029889,0.00002079793,0.00118578,0.0006710877,0.00001302002,0.0001190447,0.06857238,0.003259302,0.0005985794,0.8508422,0.07467189,0.00003560848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3586552,0.01163201,0.06565017,0.1883085,0.0004283843,0.0001680729,0.000131814,0.00008484428,0.374941],"genre_scores_gemma":[0.9929243,0.001438736,0.002791709,0.001116659,0.00003109586,0.00003760945,0.00001456373,0.0000226405,0.001622636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9945857,"threshold_uncertainty_score":0.09325695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09654171814328652,"score_gpt":0.3872914055728706,"score_spread":0.2907496874295841,"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."}}