{"id":"W4398823304","doi":"10.7910/dvn/v1rjpf/ybaoxw","title":"iqa20150220_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":"Mathematics","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":[0.00161241,0.003252293,0.00223009,0.00568623,0.001305228,0.006448915,0.004789529,0.003866886,0.2582547],"category_scores_gemma":[0.0101146,0.001129413,0.001786658,0.01045167,0.0008663544,0.002821657,0.004573888,0.00240151,0.3245425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290198,"about_ca_system_score_gemma":0.002661146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0285893,"about_ca_topic_score_gemma":0.04002239,"domain_scores_codex":[0.9986392,0.0002642908,0.0001447233,0.0003813646,0.0002773973,0.0002929721],"domain_scores_gemma":[0.9966639,0.0009419701,0.0003267264,0.0008254296,0.0007095718,0.0005324822],"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":[0.00002991383,0.00001068277,0.0002522118,0.0004514954,0.00001721083,0.000008718873,0.00001856414,0.0001095331,0.00003664308,0.0003907533,0.9977995,0.0008748549],"study_design_scores_gemma":[0.0002854572,0.00001705592,0.00162867,0.0003888235,0.0000250861,0.00002539738,0.0000931431,0.0002910668,0.0001815825,0.001715338,0.9953194,0.00002889305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003269866,0.0000394458,0.00002747897,0.00007317823,0.00002468853,0.000005908577,0.9989145,0.0003056223,0.0005764571],"genre_scores_gemma":[0.0002268031,0.00006056107,0.0001265569,0.00007449843,0.00001544112,0.00006429348,0.9984987,0.0001327889,0.0008004402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7417453,"threshold_uncertainty_score":0.863948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325829350503553,"score_gpt":0.2943176884601321,"score_spread":0.2617347534097768,"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."}}