{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003453991,0.002852681,0.002341767,0.006257962,0.002022979,0.006159244,0.005651885,0.003356953,0.5672241],"category_scores_gemma":[0.03182225,0.002507802,0.003266271,0.006586717,0.001218022,0.004665914,0.00338175,0.005257253,0.4669976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002530473,"about_ca_system_score_gemma":0.005651903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008231433,"about_ca_topic_score_gemma":0.008750826,"domain_scores_codex":[0.9966108,0.0006919983,0.0003154161,0.0004771791,0.001355743,0.0005488232],"domain_scores_gemma":[0.9823009,0.006977882,0.0007088163,0.004399657,0.004776887,0.00083592],"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":[0.0001436165,0.00006168973,0.0003649379,0.0003753184,0.00008299645,0.00006050035,0.00008213332,0.001826539,0.0004318546,0.01139776,0.9756328,0.009539742],"study_design_scores_gemma":[0.0006181869,0.00004646769,0.001326316,0.0004234659,0.00008942696,0.0001277983,0.0001075757,0.0264488,0.003666308,0.07604299,0.8909193,0.000183343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001749626,0.0003564424,0.06757165,0.001488759,0.001871859,0.0002927395,0.5034764,0.371135,0.0520576],"genre_scores_gemma":[0.02039763,0.0006693924,0.09447645,0.0009127565,0.0007614803,0.001412659,0.4518743,0.397473,0.03202232],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5672241,"threshold_uncertainty_score":0.6173023,"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."}}