{"id":"W6906595644","doi":"10.17605/osf.io/7savj","title":"Biol 548T project","year":2022,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Process (computing); Data collection; Natural (archaeology)","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003064839,0.0004820768,0.0005714023,0.001302979,0.0007715166,0.001791474,0.01618734,0.0003721289,0.1651652],"category_scores_gemma":[0.00168434,0.0004284708,0.00009905235,0.008727265,0.00177032,0.0004766763,0.007687019,0.001337303,0.02968321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006237924,"about_ca_system_score_gemma":0.002850055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503255,"about_ca_topic_score_gemma":0.0001603695,"domain_scores_codex":[0.9944857,0.0001838419,0.0002914259,0.00190395,0.002057805,0.001077257],"domain_scores_gemma":[0.996047,0.0001087489,0.0005200718,0.003031192,0.00006426004,0.0002287767],"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":[0.00001081935,0.00008088999,0.0003887657,0.00001086957,0.00001587676,0.00002396809,0.0002386364,0.000001542232,0.0001072887,0.02138912,0.9748653,0.002866942],"study_design_scores_gemma":[0.0001192615,0.00007151019,0.00006742981,0.0003038419,0.00001795146,0.00001123803,0.0002916828,0.00001756539,0.00003418062,0.001783347,0.99663,0.0006520581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002056272,0.0003095435,0.0001118326,0.0001533093,0.00174505,0.003057181,0.000475011,0.0005008149,0.9936267],"genre_scores_gemma":[0.0003102747,0.00003056207,0.05357588,0.0007458399,0.0004834664,0.0006849461,0.00004984071,0.001502021,0.9426172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.135482,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324694073044119,"score_gpt":0.4029139516073057,"score_spread":0.3496670108768645,"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."}}