{"id":"W4398450222","doi":"10.7910/dvn/hx5bht/udjxrh","title":"Read_Me.pdf","year":2019,"lang":"de","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002009954,0.002381559,0.002462452,0.001285155,0.000409255,0.0008042396,0.005350432,0.001988885,0.8254321],"category_scores_gemma":[0.001699776,0.002659134,0.0007963747,0.001188935,0.0007013112,0.00145342,0.004225489,0.003088546,0.9999607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304973,"about_ca_system_score_gemma":0.00153941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007255747,"about_ca_topic_score_gemma":0.0002536735,"domain_scores_codex":[0.9884516,0.0009886714,0.001824346,0.003519096,0.002620169,0.002596126],"domain_scores_gemma":[0.9812672,0.0004880458,0.00176622,0.01482881,0.000437857,0.00121185],"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":[0.0008949516,0.0008467411,0.00003606917,0.001185994,0.001311287,0.001842171,0.0000651312,0.00003088742,0.0005277485,0.00006971266,0.9930948,0.00009453164],"study_design_scores_gemma":[0.00336892,0.0003176801,0.00004085738,0.001149441,0.003363696,0.0001656074,0.0002026917,0.0001305227,0.0000876599,0.00001411951,0.9883943,0.002764564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003396211,0.00001014641,0.00001726022,0.000005489027,0.008718903,0.002247201,0.985988,0.0002485925,0.002730477],"genre_scores_gemma":[0.000004918932,0.002402431,0.0006158688,0.0009846583,0.002723501,0.0000881999,0.9679339,0.0006432544,0.0246033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1745286,"threshold_uncertainty_score":0.9993067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548920384335007,"score_gpt":0.2635621725778917,"score_spread":0.2380729687345416,"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."}}