{"id":"W4398860193","doi":"10.7910/dvn/v1rjpf/mwyzg8","title":"iqa20161204_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":"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":[0.001654355,0.003151384,0.002264659,0.00570171,0.00137021,0.006620675,0.00493605,0.003976237,0.276586],"category_scores_gemma":[0.01082602,0.001169972,0.00177702,0.01039939,0.000883168,0.00289664,0.004695565,0.00246657,0.3310113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339561,"about_ca_system_score_gemma":0.002710493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02942847,"about_ca_topic_score_gemma":0.04078511,"domain_scores_codex":[0.9986155,0.0002708067,0.0001473657,0.000387033,0.0002823971,0.0002969406],"domain_scores_gemma":[0.9964439,0.001040929,0.0003454851,0.0008692924,0.0007439742,0.000556515],"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":[0.00002992217,0.0000106115,0.0002557189,0.0004532305,0.00001700403,0.00000870499,0.00001912713,0.000105323,0.00003442779,0.0004119179,0.9978083,0.0008457388],"study_design_scores_gemma":[0.0002941571,0.00001575022,0.001556595,0.0003776717,0.00002396534,0.00002389336,0.00009228898,0.0002690601,0.0001646607,0.00178422,0.995369,0.00002873919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003053559,0.0000366819,0.00002661135,0.00007524621,0.00002416859,0.000005816498,0.9989242,0.0002957059,0.0005810676],"genre_scores_gemma":[0.0002363833,0.00006001151,0.0001302942,0.00008085094,0.00001648898,0.00006897179,0.9984227,0.0001438492,0.0008403934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.723414,"threshold_uncertainty_score":0.9252723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086939537624158,"score_gpt":0.2918924963193795,"score_spread":0.261023100943138,"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."}}