{"id":"W6907716443","doi":"10.22002/d1.1880","title":"ginput v1.0.7b: GGG2020 prior profile software","year":2021,"lang":"en","type":"other","venue":"CaltechDATA","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Software; Data file; Code (set theory); Software tool; Source code","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002923649,0.0009329657,0.001086069,0.0005247904,0.0001151038,0.0001754478,0.001999027,0.001078942,0.1047017],"category_scores_gemma":[0.00110248,0.00095691,0.0002579436,0.0009948574,0.0002077387,0.0001045138,0.001522367,0.001117252,0.07019535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897599,"about_ca_system_score_gemma":0.0008145002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385924,"about_ca_topic_score_gemma":0.000463012,"domain_scores_codex":[0.9955499,0.0001803181,0.0005199251,0.001842475,0.0009184229,0.0009890124],"domain_scores_gemma":[0.9944497,0.00008735474,0.0005193226,0.00440113,0.0001269768,0.0004155143],"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":[0.00001336534,0.0001167831,0.00006772974,0.0007133894,0.0001937739,0.0004141341,0.00002277634,3.189027e-7,0.0006185949,0.0001019452,0.9899268,0.007810446],"study_design_scores_gemma":[0.0005924105,0.00003368086,0.00003665212,0.001362718,0.0001543827,0.00006240911,0.00002091698,0.00002452913,0.001036697,0.00003994522,0.995576,0.001059698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000222445,0.02353482,0.003421383,0.0003039482,0.002663583,0.003314254,0.05491574,0.00759792,0.9042261],"genre_scores_gemma":[0.00001500721,0.0001893927,0.02957252,0.0003127691,0.001813177,0.0002797316,0.02668568,0.005353959,0.9357778],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03450638,"threshold_uncertainty_score":0.9992881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290823199674164,"score_gpt":0.2891920902607059,"score_spread":0.2562838582639642,"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."}}