{"id":"W4398997102","doi":"10.7910/dvn/tnrk8w/miffsm","title":"Calgary 1996.tab","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Geology; Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006250287,0.0004172113,0.0005210351,0.0001311013,0.0003420493,0.0001831424,0.001775369,0.0003516842,0.1607789],"category_scores_gemma":[0.0002704651,0.0003597568,0.0001171106,0.0001868437,0.0004210017,0.000570692,0.0009302503,0.0002829718,0.5387891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007242337,"about_ca_system_score_gemma":0.0002742106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987471,"about_ca_topic_score_gemma":0.0002914775,"domain_scores_codex":[0.9970866,0.0001844969,0.0004701791,0.0008882241,0.0007217228,0.0006487099],"domain_scores_gemma":[0.9974376,0.00006692801,0.0002867695,0.001849921,0.00005818988,0.0003006178],"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":[0.00003908844,0.00006227879,4.35905e-7,0.00006691565,0.000007649596,0.0003608407,0.00001162649,0.000002240335,0.0122552,0.00003474021,0.987096,0.00006300399],"study_design_scores_gemma":[0.000225931,0.00004231892,0.00001920813,0.0000505529,0.00004918881,0.0001162361,0.000005762772,0.000004908317,0.003028832,0.00002587948,0.9959781,0.0004531053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004843032,0.000002783709,0.00004393956,0.000003487117,0.004843668,0.0002479382,0.9936208,0.0001062007,0.0006469459],"genre_scores_gemma":[0.00001670395,0.0007309187,0.0008414859,0.0005445415,0.0007235871,0.00003341214,0.9960657,0.00001945072,0.001024157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3780102,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027522740102023,"score_gpt":0.2387286742954697,"score_spread":0.2184534468944495,"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."}}