{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006008028,0.001602508,0.001490288,0.01044309,0.001605015,0.005215727,0.003024011,0.002478552,0.6390036],"category_scores_gemma":[0.06719872,0.0008563052,0.00165838,0.008396879,0.001071607,0.003354497,0.004644726,0.002572722,0.4624594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210192,"about_ca_system_score_gemma":0.009429798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103713,"about_ca_topic_score_gemma":0.01253985,"domain_scores_codex":[0.9934589,0.001274119,0.001079251,0.00134977,0.002252488,0.0005854237],"domain_scores_gemma":[0.9624574,0.0138516,0.002162576,0.01080106,0.008505319,0.002222063],"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":[0.0003412962,0.00006267262,0.001074594,0.0009824918,0.00003756191,0.00005217029,0.0001313739,0.0001486815,0.000205975,0.004826185,0.9712048,0.02093217],"study_design_scores_gemma":[0.0001151516,0.00001528904,0.0008831684,0.0003592246,0.00002451276,0.00003946462,0.00009902885,0.0001053814,0.0002805241,0.005263457,0.992789,0.00002589913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004129974,0.0001661323,0.00169042,0.0008246911,0.0003181166,0.0005299886,0.9604472,0.001809585,0.03380093],"genre_scores_gemma":[0.006047509,0.0003979158,0.007229984,0.001821145,0.0002846605,0.004498287,0.9260225,0.002806782,0.0508912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3609964,"threshold_uncertainty_score":0,"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."}}