{"id":"W3017120527","doi":"10.17605/osf.io/xbs23","title":"ManyBabies 1: Final analysis repository","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.006050402,0.0006285937,0.001027559,0.0009002666,0.0003101178,0.000331252,0.00226312,0.000374985,0.7234119],"category_scores_gemma":[0.001517391,0.0007119114,0.000953356,0.001720521,0.0003088625,0.0006819329,0.002348853,0.0008139799,0.9887915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741109,"about_ca_system_score_gemma":0.0002360065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005712152,"about_ca_topic_score_gemma":0.0001134334,"domain_scores_codex":[0.9913342,0.001230832,0.001140777,0.004165193,0.001155212,0.0009737985],"domain_scores_gemma":[0.9881892,0.0006041834,0.0006543565,0.009769934,0.000352633,0.0004297356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005916099,0.0007846061,0.8537468,0.0001490094,0.003764944,0.0001347485,0.001879858,0.01711316,0.0809991,0.002679514,0.03576941,0.002387287],"study_design_scores_gemma":[0.00215277,0.000003435892,0.7336096,0.0001081855,0.002463754,0.0001788787,0.0005201946,0.008264189,0.06074464,0.002783036,0.1874,0.001771415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4866382,0.000001599562,0.0003132664,0.00006248985,0.0002877169,0.0006484363,0.00002171711,0.0003803352,0.5116463],"genre_scores_gemma":[0.563701,0.000009617009,0.000932269,0.00006607969,0.00007459392,0.0001378408,0.00003671904,0.0000921708,0.4349497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2653796,"threshold_uncertainty_score":0.9995332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145378579411355,"score_gpt":0.2510454146780433,"score_spread":0.2365075567369078,"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."}}