{"id":"W6906561608","doi":"10.17605/osf.io/4mtqb","title":"ManyBabies 1: Analytic Code Archive","year":2023,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007606728,0.0003038405,0.0004074222,0.000366619,0.0008287641,0.0002938681,0.00192768,0.0002577228,0.3290395],"category_scores_gemma":[0.00478945,0.0003525554,0.0002799224,0.001077556,0.0008887754,0.0003607196,0.001142366,0.0005702831,0.8878278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069703,"about_ca_system_score_gemma":0.0004805694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003409991,"about_ca_topic_score_gemma":0.006114521,"domain_scores_codex":[0.9944809,0.001173481,0.0005871549,0.001843876,0.0009113274,0.001003245],"domain_scores_gemma":[0.9958296,0.001046329,0.0002158206,0.002312626,0.0002135977,0.0003820067],"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":[0.0001796286,0.0005611472,0.05751898,0.0002090659,0.0005116477,0.0003650732,0.1091583,0.00382273,0.003024006,0.591731,0.2050247,0.02789378],"study_design_scores_gemma":[0.0003622283,0.00000265676,0.03007422,0.0001078455,0.0001017675,0.00001431691,0.01226664,0.002655059,0.004256872,0.2715004,0.6777483,0.0009097414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1101415,0.00000148019,0.0007996312,0.001247752,0.0005738786,0.0007203512,0.00003794412,0.0005981833,0.8858793],"genre_scores_gemma":[0.641104,0.0003491193,0.0004125911,0.0001449755,0.000245287,0.0001334512,0.0000267239,0.00004122559,0.3575427],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5587883,"threshold_uncertainty_score":0.9998927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528386892120398,"score_gpt":0.3242879695519308,"score_spread":0.2890041006307268,"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."}}