{"id":"W6912587486","doi":"10.5281/zenodo.6612474","title":"joseppinilla/qaml_demo: v0.0.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Noise (video); Test (biology); Relation (database); Artificial neural network","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":[],"consensus_categories":[],"category_scores_codex":[0.001389813,0.002219943,0.001270661,0.001316417,0.0007024515,0.00165708,0.004009185,0.001760353,0.2097281],"category_scores_gemma":[0.002975057,0.001049594,0.0009946148,0.001200833,0.0008964801,0.002672411,0.002048634,0.002749465,0.1065704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186805,"about_ca_system_score_gemma":0.000763145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004553856,"about_ca_topic_score_gemma":0.006100262,"domain_scores_codex":[0.9994041,0.0001326223,0.00002510028,0.00009299153,0.0002485442,0.00009660733],"domain_scores_gemma":[0.9990407,0.0002306127,0.0000496037,0.0003986714,0.0001788775,0.0001014595],"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":[0.0006516437,0.00008875459,0.0005132038,0.0005149487,0.00006923357,0.0001589794,0.0001411492,0.009251992,0.004666564,0.01311443,0.9441097,0.02671942],"study_design_scores_gemma":[0.0009393275,0.0001122225,0.0009601341,0.0002084793,0.00004624586,0.0003738222,0.00006933426,0.07663397,0.04341294,0.04228589,0.8347723,0.0001852853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004611929,0.0002772822,0.1105818,0.0007516273,0.0003436955,0.0002316775,0.1726936,0.620463,0.09004549],"genre_scores_gemma":[0.1044089,0.0004889914,0.1465498,0.001329246,0.0001743409,0.001548847,0.3732628,0.3264682,0.04576896],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2097281,"threshold_uncertainty_score":0.7016104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278055959377307,"score_gpt":0.2488191875023071,"score_spread":0.2160386279085341,"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."}}