{"id":"W4399018942","doi":"10.7910/dvn/v1rjpf/yseylc","title":"iqa20150715_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":[0.00160518,0.003312632,0.002267111,0.005755306,0.001361524,0.006473955,0.004995731,0.004111292,0.2724984],"category_scores_gemma":[0.01008196,0.001182893,0.001900376,0.01028964,0.0009005698,0.002873869,0.004566131,0.002524787,0.3234212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437262,"about_ca_system_score_gemma":0.002778336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03101185,"about_ca_topic_score_gemma":0.04387205,"domain_scores_codex":[0.9986504,0.0002619918,0.0001417929,0.000380037,0.0002725154,0.0002932765],"domain_scores_gemma":[0.9967455,0.0009583111,0.0003183531,0.0007864957,0.0006843964,0.0005070309],"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":[0.00003060873,0.00001051645,0.0002395507,0.0004960016,0.00001814909,0.000008588799,0.00001876701,0.0001103178,0.00003720841,0.0004047649,0.9977755,0.0008499933],"study_design_scores_gemma":[0.0003182173,0.00001673145,0.001566977,0.0004007045,0.00002684141,0.00002513026,0.00008928264,0.0002798879,0.0001779026,0.001764434,0.9953041,0.00002977901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003143025,0.00004008062,0.00002671845,0.00007325783,0.00002351365,0.000006064898,0.9989058,0.0003171698,0.0005760716],"genre_scores_gemma":[0.0002311808,0.00006211794,0.000133916,0.00008046206,0.00001508893,0.00006944232,0.9984354,0.0001463275,0.000825997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7275016,"threshold_uncertainty_score":0.911598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268515925790021,"score_gpt":0.2945282667746949,"score_spread":0.2618431075167947,"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."}}