{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00260915,0.00134204,0.001026404,0.008670689,0.0008910397,0.003264426,0.00181164,0.0008873056,0.1877143],"category_scores_gemma":[0.02063217,0.001204496,0.0007141703,0.02253206,0.0003797712,0.0023619,0.001481181,0.002102057,0.2016635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342418,"about_ca_system_score_gemma":0.005689682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1016483,"about_ca_topic_score_gemma":0.08806013,"domain_scores_codex":[0.9978077,0.000265297,0.0003911607,0.0004019707,0.0008055773,0.0003282104],"domain_scores_gemma":[0.9844738,0.00439748,0.00125051,0.002750254,0.00658108,0.0005468357],"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":[0.00003306045,0.00001076038,0.0006821564,0.0001437518,0.000008545605,0.000007261703,0.00001987663,0.0001097026,0.00003002418,0.0005420333,0.9920402,0.006372602],"study_design_scores_gemma":[0.00005865783,0.000006547696,0.005735627,0.0001507797,0.00000848174,0.00001347419,0.00007369785,0.0001388772,0.0001442441,0.001124868,0.9925249,0.00001980498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001109969,0.00004305996,0.0001331319,0.00005194647,0.00002223506,0.0000240822,0.9971797,0.0003262378,0.002108642],"genre_scores_gemma":[0.000731482,0.0001279292,0.0007347064,0.00005766732,0.00001680837,0.0002139091,0.9934902,0.000403331,0.004223879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8122857,"threshold_uncertainty_score":0.6279669,"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."}}