{"id":"W7134913572","doi":"10.5281/zenodo.18960793","title":"Ep. 67: AI & Code: Scaling or Pivoting?","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prompt (Canada)","funders":"","keywords":"Coding (social sciences); Skepticism; Human language; Heading (navigation); Language model","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":[],"consensus_categories":[],"category_scores_codex":[0.001955063,0.0005044225,0.0003324058,0.0007404358,0.008940709,0.0103437,0.001218447,0.008606352,0.07485325],"category_scores_gemma":[0.01275515,0.0004648721,0.0003989745,0.001284659,0.006137813,0.01094834,0.005640483,0.01725545,0.0223389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008428167,"about_ca_system_score_gemma":0.005456112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04241851,"about_ca_topic_score_gemma":0.06538357,"domain_scores_codex":[0.9974359,0.0008100682,0.0001185002,0.0002804456,0.0008011415,0.0005539811],"domain_scores_gemma":[0.9967502,0.001446619,0.0001795083,0.0002597703,0.0008645643,0.0004992827],"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":[0.000008013021,0.000005305843,0.00004871542,0.00003509305,5.535695e-7,0.00007853926,0.002189887,0.0000152776,0.00004700118,0.05795476,0.9338073,0.005809537],"study_design_scores_gemma":[0.000001460885,0.000003507211,0.0001397531,0.0001049357,4.288786e-7,0.00003838827,0.001653057,0.00001629359,0.000031577,0.003493381,0.9945128,0.000004499402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001746274,0.008239822,0.001452966,0.6055909,0.02287818,0.00009694394,0.0004655368,0.0001874953,0.3593419],"genre_scores_gemma":[0.0316096,0.006256281,0.001042044,0.3207731,0.01274551,0.000253604,0.0003577757,0.000723818,0.6262383],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07485325,"threshold_uncertainty_score":0.2504091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04807652941144364,"score_gpt":0.3765823687323335,"score_spread":0.3285058393208899,"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."}}