{"id":"W4398715193","doi":"10.7910/dvn/oma5yi/6iqxie","title":"WoS_EmbroData_1990_2010.zip","year":2012,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004936372,0.001789838,0.001180187,0.005376606,0.0005323125,0.002054798,0.001818672,0.001287076,0.05613525],"category_scores_gemma":[0.003448646,0.0006645736,0.001098273,0.009322674,0.0003465242,0.0009912527,0.00141853,0.001267338,0.0724657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253293,"about_ca_system_score_gemma":0.001965217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961282,"about_ca_topic_score_gemma":0.04176652,"domain_scores_codex":[0.999313,0.00006838002,0.00009792314,0.0002549465,0.000151829,0.0001138657],"domain_scores_gemma":[0.9986286,0.0003508199,0.0002816074,0.000289584,0.0002589533,0.0001903855],"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":[0.0001495445,0.00003157097,0.002891843,0.00138574,0.00007986727,0.00005529586,0.00004310103,0.0003958533,0.0003972488,0.0005689081,0.9897335,0.00426758],"study_design_scores_gemma":[0.0001941,0.00001689105,0.01085484,0.0002416968,0.000045273,0.000100541,0.0000714097,0.0003190374,0.0004506879,0.0005782159,0.987099,0.00002841034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001855316,0.00006685706,0.00002543818,0.0000230952,0.000009089305,0.000003253638,0.9991466,0.0001706366,0.0003694604],"genre_scores_gemma":[0.0004517309,0.00007710374,0.0001203939,0.00002515257,0.000005474656,0.00002443432,0.9987097,0.00003966103,0.0005463877],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9438648,"threshold_uncertainty_score":0.1877911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00969884665880997,"score_gpt":0.2974223117384572,"score_spread":0.2877234650796472,"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."}}