{"id":"W4398993154","doi":"10.7910/dvn/v1rjpf/1hng04","title":"iqa20151019_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chemistry","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":[],"category_scores_codex":[0.001658146,0.003225483,0.002295207,0.005795135,0.001371018,0.006716805,0.00487098,0.003930901,0.2734658],"category_scores_gemma":[0.01056038,0.001171545,0.00181727,0.01084455,0.000890822,0.002912472,0.004725058,0.002421235,0.3325272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002368216,"about_ca_system_score_gemma":0.002758422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03027037,"about_ca_topic_score_gemma":0.04172963,"domain_scores_codex":[0.9985945,0.0002710772,0.0001511362,0.0003907955,0.0002891519,0.0003033594],"domain_scores_gemma":[0.9964978,0.0009931093,0.0003392368,0.0008688346,0.0007408877,0.0005601005],"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":[0.00003109842,0.00001043164,0.0002539938,0.0004717554,0.00001738841,0.000008897848,0.00001902339,0.0001083953,0.00003574006,0.0004188869,0.9977544,0.0008701085],"study_design_scores_gemma":[0.0002747461,0.00001590182,0.001532177,0.0003860557,0.00002393241,0.00002371367,0.00008956771,0.0002606755,0.0001670451,0.001672984,0.9955251,0.00002811895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002967792,0.00003746467,0.0000261159,0.00007222668,0.00002431133,0.000005730388,0.9989228,0.0002917163,0.0005900184],"genre_scores_gemma":[0.0002215634,0.00006115885,0.0001226713,0.00007668194,0.00001534921,0.00006411386,0.9984706,0.0001387528,0.0008291014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7265342,"threshold_uncertainty_score":0.9148341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240147932923267,"score_gpt":0.2944902548679796,"score_spread":0.2620887755387469,"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."}}