{"id":"W6921752982","doi":"10.7939/dvn/kcnxex/mjopoz","title":"ldftra.F90","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001036296,0.004113552,0.001731639,0.006660146,0.001453041,0.003657839,0.003145154,0.003538474,0.1364069],"category_scores_gemma":[0.005761077,0.0008454662,0.002021814,0.008874815,0.0008552196,0.001460561,0.002036073,0.001974141,0.2300565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003148588,"about_ca_system_score_gemma":0.005145456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2007253,"about_ca_topic_score_gemma":0.3017592,"domain_scores_codex":[0.9987954,0.0001803603,0.00007185132,0.0003518592,0.0003008333,0.0002996481],"domain_scores_gemma":[0.9979189,0.0004316624,0.0001243288,0.000484983,0.0006707346,0.0003693872],"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":[0.00004304496,0.00001516933,0.0002124593,0.0002652372,0.00001336349,0.00001125582,0.00001016854,0.0002083182,0.0000444197,0.0001576656,0.997305,0.001713857],"study_design_scores_gemma":[0.0003169006,0.00003304338,0.00355907,0.0004219971,0.00005003992,0.00006084177,0.0001358381,0.0009917939,0.0003428225,0.001287458,0.9927523,0.00004788797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001694597,0.0001976813,0.0000577958,0.00009608801,0.00005238998,0.00001062675,0.9971841,0.0007059594,0.001525912],"genre_scores_gemma":[0.0003631882,0.0001073346,0.0002098409,0.0000612387,0.00001185273,0.00002904526,0.9972384,0.00009385731,0.001885218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.863593,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009017500566615384,"score_gpt":0.1706074598270964,"score_spread":0.1615899592604811,"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."}}