{"id":"W6910892869","doi":"10.5064/f6td9v7g/av23iq","title":"Canada_2011-data.nt","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003825869,0.001235981,0.001354548,0.00105833,0.001331979,0.0002480868,0.01801796,0.0009367209,0.0006556306],"category_scores_gemma":[0.001581558,0.001396497,0.0001681869,0.0009833812,0.002155833,0.003254585,0.01414463,0.001628542,0.007262508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960264,"about_ca_system_score_gemma":0.003356965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1463739,"about_ca_topic_score_gemma":0.07087894,"domain_scores_codex":[0.9867875,0.005153397,0.000921268,0.003939854,0.002027892,0.001170074],"domain_scores_gemma":[0.9742069,0.001441143,0.001813474,0.02072446,0.001008863,0.0008052011],"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":[0.0003933655,0.0003404022,0.000003485316,0.0002555521,0.001320398,0.002245873,0.001747991,4.261631e-7,0.00006884402,0.00006215544,0.9935468,0.00001473715],"study_design_scores_gemma":[0.0009402465,0.0001602318,0.00002389759,0.0002817106,0.001494942,0.00009713265,0.01201605,0.00004421053,0.0000265434,0.00002040923,0.983292,0.001602588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009836016,0.0002422999,0.00003968535,0.0001068506,0.002161942,0.0007716467,0.9948865,0.0003074678,0.001385237],"genre_scores_gemma":[0.00001454567,0.000125085,0.001375655,0.0001431527,0.001103407,0.00000151098,0.9922418,0.0001531221,0.004841724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07549492,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1492556454973865,"score_gpt":0.3753543427381536,"score_spread":0.2260986972407671,"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."}}