{"id":"W4398974165","doi":"10.7910/dvn/qkcpxu/ttyg8p","title":"LDSF_KODA.csv","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MaRS","funders":"","keywords":"Programming language; 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":[0.0003503526,0.0004252752,0.0005327647,0.0001385362,0.0001313404,0.0001450759,0.001207899,0.0001745282,0.06668704],"category_scores_gemma":[0.00002433247,0.0004071044,0.0001941073,0.0001960175,0.0001491803,0.0002866799,0.0008608319,0.0008193762,0.3635451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573495,"about_ca_system_score_gemma":0.001114944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892809,"about_ca_topic_score_gemma":0.00001504303,"domain_scores_codex":[0.9977099,0.0001056917,0.0003428643,0.00059638,0.0006439399,0.0006012124],"domain_scores_gemma":[0.9974818,0.0000677839,0.0001837744,0.001714444,0.0001625062,0.0003896914],"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":[0.00002460208,0.0001248736,0.00003201094,0.00002819672,0.0001706098,0.00002204944,0.0000170434,0.000002711964,0.000004796363,0.000723756,0.9970698,0.001779495],"study_design_scores_gemma":[0.000565719,0.000008727134,0.000001593979,0.00003239891,0.00008467631,0.000001508074,0.0001202826,0.0002461767,0.00001927814,0.001972608,0.9965113,0.0004356959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002537322,8.232277e-7,0.0003777807,0.000005160494,0.0004558525,0.0002611716,0.9930248,0.00003337573,0.005815645],"genre_scores_gemma":[0.0002163138,0.00001483361,0.00003991098,0.0000798308,0.001293948,0.00004462152,0.9957511,0.00003911423,0.0025203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2968581,"threshold_uncertainty_score":0.9998381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625912701870973,"score_gpt":0.2906824142200579,"score_spread":0.2644232872013481,"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."}}