{"id":"W6906250889","doi":"10.17605/osf.io/cbg8p","title":"Data","year":2017,"lang":"en","type":"article","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Process (computing); Data collection; Work (physics)","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.004996849,0.0001075289,0.0001474618,0.00006521489,0.003636165,0.009833458,0.06230163,0.00006131144,0.0008115895],"category_scores_gemma":[0.0131986,0.00009119734,0.00001233586,0.0004932001,0.002717335,0.008822531,0.02656325,0.0002925239,0.02110812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006078982,"about_ca_system_score_gemma":0.0005427009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003451015,"about_ca_topic_score_gemma":0.0000941062,"domain_scores_codex":[0.9975116,0.00002382332,0.0001384282,0.0009762881,0.0008116991,0.0005381519],"domain_scores_gemma":[0.9848267,0.0000774432,0.0002298156,0.01450441,0.0001131259,0.0002484542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007926663,0.0003062842,0.1305987,0.000007231809,0.00002077468,0.00008688859,0.0008978696,0.00002194525,0.01898264,0.4816028,0.2162669,0.1511288],"study_design_scores_gemma":[0.0003050102,0.00004058394,0.2874242,0.0002314487,0.00001489144,0.00001586792,0.000194206,0.003266072,0.002560904,0.0919852,0.6133989,0.0005626995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1547131,0.00005353693,0.003108809,0.006542637,0.002767224,0.001070733,0.0005331618,0.0001551188,0.8310556],"genre_scores_gemma":[0.900648,0.000002592087,0.09737895,0.0003543047,0.0001474859,0.000008913068,0.000006449098,0.00002306182,0.001430228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8296254,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2640202417091063,"score_gpt":0.5001338231342521,"score_spread":0.2361135814251459,"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."}}