{"id":"W4398309454","doi":"10.7910/dvn/but8ga","title":"UCalgary PoMELO METEC 2019 Data and Reporting","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001775985,0.0005373592,0.001010702,0.0003288014,0.0001908189,0.0009535425,0.009417579,0.0002668305,0.001266411],"category_scores_gemma":[0.003392211,0.0005101489,0.0001091137,0.0007246119,0.0001235886,0.002785329,0.02097786,0.0007648903,0.07555952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005129177,"about_ca_system_score_gemma":0.0003675208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007933503,"about_ca_topic_score_gemma":0.0001459333,"domain_scores_codex":[0.9943786,0.0001970683,0.001575764,0.002419613,0.0008903809,0.0005385421],"domain_scores_gemma":[0.9850738,0.0001895178,0.002324567,0.01189589,0.00008493433,0.0004312618],"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":[0.000005991035,0.00003225212,0.000009720696,0.0001036509,0.0002036423,0.001098486,0.00001528532,8.833699e-7,0.000009298547,0.00005087055,0.9956381,0.002831875],"study_design_scores_gemma":[0.0002182296,0.00003340328,0.00005363328,0.00007127018,0.0003118145,0.0001494498,0.00001280629,0.006983913,0.000006593126,0.00003524891,0.9915662,0.0005574448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001121457,0.00001134547,0.0190304,0.00007294561,0.0006121781,0.0002330909,0.9797937,0.0001675074,0.00007771841],"genre_scores_gemma":[0.000001910373,0.0006089224,0.02756516,0.001290909,0.0002719381,0.000008098242,0.9700906,0.0000247223,0.0001377333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07429311,"threshold_uncertainty_score":0.999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529612040293617,"score_gpt":0.2908335048145172,"score_spread":0.2378723007851555,"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."}}