{"id":"W3040971250","doi":"10.17605/osf.io/3kvzu","title":"QLSC 612: Summer 2020","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01718532,0.0003962094,0.0007049655,0.0001803077,0.0003464546,0.001840111,0.009000883,0.0004215119,0.7032657],"category_scores_gemma":[0.06811856,0.0003530466,0.0003583958,0.001505665,0.0002693719,0.00234137,0.005627289,0.001357584,0.9408574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226488,"about_ca_system_score_gemma":0.000303331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002155248,"about_ca_topic_score_gemma":0.00002529734,"domain_scores_codex":[0.9901538,0.001260161,0.00144706,0.003974371,0.002444344,0.0007202185],"domain_scores_gemma":[0.9910288,0.00245159,0.0006279001,0.004474371,0.0004699236,0.0009474157],"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":[0.0001150037,0.00008654452,0.09499077,0.00001293767,0.00006382562,0.00004205014,0.002257881,0.0008659962,0.0009951791,0.001246777,0.8533838,0.04593927],"study_design_scores_gemma":[0.0006016411,0.000001259319,0.02679281,0.00002578132,0.00003380127,0.0000260803,0.0007767145,0.003677051,0.00416489,0.01663978,0.9467405,0.0005197068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09333032,0.000005401038,0.007339784,0.02016289,0.0007574791,0.0006206895,0.00003427063,0.0002640715,0.8774851],"genre_scores_gemma":[0.7350533,0.00005378687,0.00090861,0.005493741,0.0004890907,0.00007134249,0.0000129723,0.00004663724,0.2578705],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.641723,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07906193524291032,"score_gpt":0.3638806270594059,"score_spread":0.2848186918164956,"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."}}