{"id":"W6964422391","doi":"10.25625/xn7lqy/idhpoz","title":"beechnut_establishment_session3-4_plot_sum.txt","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.008671741,0.001171563,0.001551574,0.003162939,0.001157847,0.001000387,0.004068841,0.001518306,0.02382413],"category_scores_gemma":[0.01120475,0.00113039,0.0004830169,0.005621946,0.000836854,0.0004898635,0.005137365,0.008562418,0.05681179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347097,"about_ca_system_score_gemma":0.003287481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966024,"about_ca_topic_score_gemma":0.003314494,"domain_scores_codex":[0.9809696,0.003299589,0.001539634,0.002724259,0.007833844,0.003633063],"domain_scores_gemma":[0.9880471,0.002006627,0.0005909341,0.004826531,0.003314275,0.001214595],"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":[0.0001255225,0.002634507,0.00004313632,0.0007177072,0.0002998972,0.001930015,0.00002181772,0.000004567345,0.001063832,0.000007550911,0.9915596,0.001591846],"study_design_scores_gemma":[0.0009280039,0.00022392,0.00009988811,0.001459549,0.0001357337,0.0000545828,0.0004494415,0.00003671498,0.0003987876,0.0001131375,0.9950627,0.001037509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007421974,0.002920209,0.00000151172,0.001008442,0.0008112427,0.001468614,0.9919453,0.0004819528,0.0006205169],"genre_scores_gemma":[0.00000866671,0.003162005,0.001768173,0.0002908673,0.003621527,0.000317137,0.9852054,0.0004481114,0.005178166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03298766,"threshold_uncertainty_score":0.9997779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2389214755296428,"score_gpt":0.5002250327325375,"score_spread":0.2613035572028947,"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."}}