{"id":"W6906442654","doi":"10.17605/osf.io/ahw8q","title":"Presentations","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":"Process (computing); Identification (biology); Set (abstract data type); 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":["insufficient_payload"],"category_scores_codex":[0.00292728,0.0009509827,0.0005386845,0.002037681,0.002461859,0.006925971,0.002059535,0.003649812,0.7205226],"category_scores_gemma":[0.01099535,0.0003099396,0.0009128177,0.0009881313,0.0009287927,0.00348871,0.005255448,0.004315307,0.4786114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589544,"about_ca_system_score_gemma":0.005710332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707077,"about_ca_topic_score_gemma":0.004370878,"domain_scores_codex":[0.9976792,0.000280054,0.00005467904,0.0002928479,0.001299507,0.0003938412],"domain_scores_gemma":[0.9940686,0.0004951907,0.0001768401,0.0005857969,0.001852835,0.002820824],"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":[0.0000232171,0.00002137954,0.00003713715,0.00003556353,0.000001661139,0.0000342094,0.0000302854,0.00002601656,0.0001784199,0.01010922,0.9695112,0.01999175],"study_design_scores_gemma":[0.000006773743,0.000005517839,0.00005484412,0.00002923578,0.000001128163,0.00002610352,0.00003661764,0.00002765296,0.00009299106,0.005389065,0.9943262,0.000003867591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006595953,0.001136409,0.003939185,0.03014817,0.03972678,0.0003629717,0.004052501,0.002062466,0.9179119],"genre_scores_gemma":[0.003235316,0.0005842556,0.0009262312,0.004396672,0.006723762,0.0001568147,0.001999253,0.0006960965,0.9812816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2794774,"threshold_uncertainty_score":0.3986406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013641497734403,"score_gpt":0.4747270090759828,"score_spread":0.3733628593025424,"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."}}