{"id":"W4399009956","doi":"10.7910/dvn/v1rjpf/tiisv7","title":"iqa20151013_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":"Physics","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":[0.001653358,0.003168154,0.002315127,0.005838745,0.001328745,0.006726044,0.00486193,0.00394422,0.2899013],"category_scores_gemma":[0.01066995,0.001189529,0.001803528,0.01116818,0.0008758732,0.00292366,0.004672987,0.002412564,0.3518606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359661,"about_ca_system_score_gemma":0.00274055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02901453,"about_ca_topic_score_gemma":0.03984785,"domain_scores_codex":[0.9986051,0.0002646417,0.0001529044,0.0003896764,0.0002836195,0.0003042126],"domain_scores_gemma":[0.9964163,0.001019653,0.0003555244,0.0008782333,0.0007668266,0.0005633441],"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":[0.00003078547,0.00001011146,0.0002506107,0.0004722873,0.00001712081,0.000008577538,0.00001812458,0.0001039045,0.0000343255,0.0004043679,0.9977797,0.0008701517],"study_design_scores_gemma":[0.0002863527,0.00001643337,0.001572384,0.0003991446,0.00002434439,0.00002412634,0.00008692175,0.0002564109,0.0001683559,0.001688995,0.9954479,0.00002869808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002765573,0.00003550006,0.00002549408,0.00006948891,0.00002298218,0.000005529917,0.9989576,0.0002827548,0.0005730611],"genre_scores_gemma":[0.0002154059,0.00006091141,0.0001204808,0.00007842819,0.00001566443,0.00006415221,0.9984535,0.0001410335,0.0008503894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7100986,"threshold_uncertainty_score":0.9698166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242200796015555,"score_gpt":0.2935966977383191,"score_spread":0.2611746897781635,"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."}}