{"id":"W4398593577","doi":"10.7910/dvn/likugt/nvqcji","title":"Instructions.do","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004514778,0.0006444915,0.0005610563,0.0006589252,0.0002902236,0.0002870971,0.001698615,0.0006018049,0.3782124],"category_scores_gemma":[0.0006079831,0.0006744626,0.0001905299,0.0005814031,0.0005635859,0.0006845018,0.001136256,0.0007809348,0.9838938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173482,"about_ca_system_score_gemma":0.0003284226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00062598,"about_ca_topic_score_gemma":0.0004174991,"domain_scores_codex":[0.9967763,0.0001827369,0.0005363462,0.001045243,0.0008051238,0.0006542882],"domain_scores_gemma":[0.9944313,0.00005575589,0.0004700618,0.004505093,0.0002229697,0.0003147787],"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":[0.00006795514,0.00009686611,0.000003072035,0.00007574943,0.0001675683,0.0001142408,0.000008546684,6.657271e-7,0.00001781023,0.00003096327,0.9992794,0.000137112],"study_design_scores_gemma":[0.0005700732,0.00006026458,0.00001670457,0.0001220526,0.0003530208,0.0001683861,0.00003047587,0.000003513048,0.00001866432,0.00005283099,0.9978966,0.0007074669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001488709,3.846613e-7,0.000003183997,5.444797e-7,0.004074619,0.0003708953,0.9943005,0.0002786232,0.0009563524],"genre_scores_gemma":[7.938484e-7,0.0001117969,0.0008501944,0.000163718,0.001783162,0.0000511393,0.9963609,0.0001402153,0.0005380528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6056814,"threshold_uncertainty_score":0.9995707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848491168443208,"score_gpt":0.2583242055959259,"score_spread":0.2398392939114939,"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."}}