{"id":"W4398707637","doi":"10.7910/dvn/abfnsq/tvse9t","title":"README 2019-04-27.rtf","year":2019,"lang":"de","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Environmental 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":[0.001201454,0.002767568,0.001772282,0.003989193,0.001119562,0.003350465,0.003907153,0.003229608,0.2366356],"category_scores_gemma":[0.008109959,0.0008748039,0.001690431,0.005157132,0.0006656563,0.002483911,0.00269379,0.002129575,0.3416928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364441,"about_ca_system_score_gemma":0.002205171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758422,"about_ca_topic_score_gemma":0.03976431,"domain_scores_codex":[0.9986652,0.0002540929,0.0001433999,0.0004055416,0.0002474371,0.0002843535],"domain_scores_gemma":[0.9969137,0.0008629295,0.0002205948,0.000860193,0.000787055,0.0003555004],"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":[0.00004937379,0.000009359849,0.0001640883,0.0004058762,0.00001474483,0.000008770789,0.00001301158,0.00008742918,0.0001069522,0.0002385218,0.9980215,0.0008804286],"study_design_scores_gemma":[0.0003046714,0.00003164773,0.001484575,0.0002187959,0.00002733948,0.0000437947,0.00006491502,0.0002990833,0.0005389949,0.001283849,0.9956671,0.00003526394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006228188,0.00004438266,0.00004763391,0.00006794399,0.00003893562,0.00000718908,0.9981742,0.0007915644,0.0007658902],"genre_scores_gemma":[0.0002321758,0.00003075942,0.0001591,0.00005935931,0.00001268237,0.000039289,0.998037,0.000240098,0.001189501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7633644,"threshold_uncertainty_score":0.791625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446031353477982,"score_gpt":0.2642082037089836,"score_spread":0.2397478901742038,"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."}}