{"id":"W6902325426","doi":"10.6084/m9.figshare.5885641.v1","title":"Scientific production about Open Educational Resources","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open educational resources; Content analysis; Reuse; Incentive; Exploratory research; Open education; Production (economics); Educational research; Descriptive statistics","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003449069,0.0003779002,0.0002920016,0.0004781474,0.000772624,0.002923887,0.003290098,0.0002949141,0.7712129],"category_scores_gemma":[0.008136678,0.0003793782,0.0000843565,0.0008949411,0.00008326596,0.0007095829,0.001607858,0.000409524,0.555056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713548,"about_ca_system_score_gemma":0.001180595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033581,"about_ca_topic_score_gemma":0.0006732706,"domain_scores_codex":[0.996875,0.0001393372,0.0003456529,0.001358449,0.0008537953,0.0004277711],"domain_scores_gemma":[0.996133,0.00004859342,0.0006127785,0.002006347,0.001035233,0.0001640121],"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":[0.00001541807,0.0001289884,4.587347e-7,0.0004151883,0.00002864213,0.000001680668,0.00004225174,9.815926e-7,0.00001133603,2.561673e-7,0.9993227,0.00003205858],"study_design_scores_gemma":[0.00009289249,0.00002082885,0.0004505932,0.005714978,0.00003055795,0.0000211534,0.000006036073,7.147867e-7,0.00007328366,0.00003678688,0.9931047,0.0004474655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008217546,0.0004998179,2.642957e-10,0.0001416442,0.001313552,0.001248846,0.9961445,0.00007173523,0.0005717202],"genre_scores_gemma":[0.000002312483,6.956586e-7,0.00002292276,0.00006210496,0.00450427,0.001234192,0.9792122,0.00009256164,0.01486873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2161569,"threshold_uncertainty_score":0.9998658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040395350164956,"score_gpt":0.3674770383512256,"score_spread":0.2634375033347299,"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."}}