{"id":"W6977669646","doi":"10.7281/t1/bmathh/lfvt1e","title":"14_B3.tar.018","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Compression (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":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.004830131,0.0001914528,0.0003246203,0.0005621949,0.003014958,0.0004468845,0.005915508,0.0007103225,0.0004676122],"category_scores_gemma":[0.00420697,0.0002181221,0.00008714271,0.001409741,0.001598243,0.0006023743,0.003800935,0.001629928,0.0001485843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034062,"about_ca_system_score_gemma":0.003993469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05718938,"about_ca_topic_score_gemma":0.01124977,"domain_scores_codex":[0.9930992,0.003271674,0.0001971941,0.001077323,0.001603964,0.0007506897],"domain_scores_gemma":[0.993655,0.001166586,0.0001523723,0.003923495,0.0007946501,0.0003079241],"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":[0.00001143271,0.0001289759,0.00009491151,0.00005573673,0.00005773422,0.0005193386,0.0001575315,7.606457e-8,0.00001915487,0.001930646,0.9959408,0.001083687],"study_design_scores_gemma":[0.00009491816,0.00002551962,0.00009868789,0.00007756182,0.00004033542,0.000005076587,0.01338672,0.000001382414,0.00005345694,0.00008448352,0.9859116,0.000220252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001960613,0.0005723664,0.00002269533,0.002326107,0.00121562,0.0003353879,0.978263,0.0001436885,0.01692513],"genre_scores_gemma":[0.00005544462,0.007493599,0.002046056,0.00002462495,0.000867242,0.000001762225,0.9714073,0.00001217577,0.01809178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04593961,"threshold_uncertainty_score":0.999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4059556152547403,"score_gpt":0.5258440549810788,"score_spread":0.1198884397263384,"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."}}