{"id":"W4398872659","doi":"10.7910/dvn/v1rjpf/y4fbt0","title":"iqa20160515_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","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":["insufficient_payload"],"category_scores_codex":[0.001595731,0.003493895,0.002461436,0.005535254,0.001447697,0.005538394,0.005100336,0.003970672,0.3091583],"category_scores_gemma":[0.01118824,0.001238577,0.002162252,0.01006093,0.0009022584,0.003272118,0.004221106,0.002635772,0.3468808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437827,"about_ca_system_score_gemma":0.002927908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0350219,"about_ca_topic_score_gemma":0.05112835,"domain_scores_codex":[0.9985821,0.0002878263,0.0001434711,0.0004459508,0.0002484455,0.0002922731],"domain_scores_gemma":[0.9962884,0.001150373,0.0003141372,0.0009017713,0.0009179388,0.0004273175],"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":[0.00003157496,0.000007927062,0.0001722704,0.0005198026,0.00002095038,0.000006860609,0.00001486123,0.0001163609,0.00003762889,0.0003706344,0.9980164,0.0006846971],"study_design_scores_gemma":[0.0003159074,0.00001913206,0.001350799,0.0004423359,0.00003538857,0.00002832485,0.0000771921,0.0002892881,0.0002178031,0.002233437,0.9949528,0.0000376542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002623713,0.00004879969,0.00002917224,0.00007733248,0.0000281739,0.000005240735,0.9987813,0.0003828582,0.0006209313],"genre_scores_gemma":[0.0002167453,0.00006374474,0.0001427083,0.000100306,0.0000148096,0.0000529151,0.99844,0.0002022935,0.0007665473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6908417,"threshold_uncertainty_score":0.9854018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454532023223658,"score_gpt":0.2544716523423119,"score_spread":0.2299263321100753,"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."}}