{"id":"W4398810037","doi":"10.7910/dvn/zmvanc/lkovqs","title":"JaneEyre-xlsx.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Replication (statistics); Reading (process); Psychology; History; Linguistics; Philosophy; Biology","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":[0.001020391,0.002385293,0.001712438,0.007129727,0.001043325,0.004571722,0.002527341,0.002842896,0.4077376],"category_scores_gemma":[0.007454456,0.0009859952,0.001314583,0.009219883,0.0005502389,0.002523411,0.003094965,0.001967731,0.3755433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673935,"about_ca_system_score_gemma":0.002322697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112838,"about_ca_topic_score_gemma":0.02836756,"domain_scores_codex":[0.9990374,0.0001263207,0.0001290054,0.0002675577,0.0002066865,0.0002330957],"domain_scores_gemma":[0.996187,0.001140281,0.0005289313,0.0006457101,0.0009025424,0.0005955005],"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":[0.00002841215,0.00001215688,0.0002661357,0.0007335317,0.00001005085,0.000008542289,0.00001561336,0.00003103749,0.00006375,0.0002239094,0.9976255,0.0009813558],"study_design_scores_gemma":[0.0002882858,0.00002047582,0.002106903,0.0003768916,0.00001745445,0.00004433296,0.00006717093,0.0001161407,0.0002253772,0.0006818328,0.9960299,0.00002536606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005291618,0.00006043632,0.00001982257,0.00007137157,0.00002838849,0.0000102058,0.99847,0.0002754961,0.00101122],"genre_scores_gemma":[0.0003329321,0.00007843038,0.0001720602,0.000121834,0.00002550975,0.00008420292,0.9969438,0.0001512575,0.002089952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5922624,"threshold_uncertainty_score":0.8447905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241284844016581,"score_gpt":0.2771023299573855,"score_spread":0.2529738455557274,"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."}}