{"id":"W6889482324","doi":"10.25625/xn7lqy/wbglum","title":"method_protocols.pdf","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":["insufficient_payload"],"category_scores_codex":[0.01909304,0.0008875877,0.001398141,0.001983368,0.0006883981,0.0006380182,0.003530613,0.001213403,0.04760761],"category_scores_gemma":[0.01563746,0.0008738844,0.000449452,0.004270187,0.0006552784,0.0001871422,0.004030973,0.008302648,0.1610694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175493,"about_ca_system_score_gemma":0.00329679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747134,"about_ca_topic_score_gemma":0.002802785,"domain_scores_codex":[0.9796107,0.00850813,0.001235115,0.002187898,0.005565704,0.002892404],"domain_scores_gemma":[0.9884263,0.002856077,0.0004425331,0.004366269,0.002992747,0.0009161042],"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":[0.0001677399,0.001076297,0.000006278722,0.0009539702,0.0003395136,0.001529225,0.0000132912,0.000002918748,0.0009740326,0.000005544905,0.991534,0.003397173],"study_design_scores_gemma":[0.000788444,0.0002631471,0.0000321531,0.0007720631,0.00009163132,0.00006319137,0.0001460661,0.00003421627,0.000699941,0.0002111826,0.9961228,0.0007751571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000159499,0.001371884,0.000005009278,0.0006469042,0.0002844322,0.01268433,0.9833595,0.000192925,0.001439104],"genre_scores_gemma":[6.810516e-8,0.0003901919,0.01569134,0.0002132547,0.003401275,0.009490564,0.9611534,0.0003076373,0.009352277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1134618,"threshold_uncertainty_score":0.9993712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3553612040754665,"score_gpt":0.580729319002461,"score_spread":0.2253681149269945,"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."}}