{"id":"W4398491232","doi":"10.7910/dvn/fmk6sq/exdnyi","title":"655548_3_S1.TIF","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Chemistry","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":[0.001448675,0.003511887,0.002824091,0.00550074,0.001542266,0.00456185,0.005073809,0.004011263,0.4200118],"category_scores_gemma":[0.009961537,0.001339878,0.00219749,0.009517805,0.0008711349,0.002820652,0.003613624,0.002490086,0.3916853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003985,"about_ca_system_score_gemma":0.003099685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03248117,"about_ca_topic_score_gemma":0.04938006,"domain_scores_codex":[0.9987065,0.0002445108,0.0001304459,0.0004040716,0.0002210332,0.0002933243],"domain_scores_gemma":[0.9965085,0.001246114,0.0002750834,0.0006933882,0.0008627088,0.0004141926],"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":[0.00004063372,0.000009600462,0.0001670176,0.00066374,0.00002293235,0.000007745828,0.00001563714,0.0001111064,0.00005229743,0.0002919374,0.9978987,0.0007186743],"study_design_scores_gemma":[0.0004554987,0.00002525177,0.001510696,0.0005694858,0.00005007509,0.00003798274,0.00007844466,0.0002665096,0.0002807425,0.002049915,0.9946266,0.00004870707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002701216,0.00004674757,0.00002779119,0.00005902564,0.00002432459,0.000006295329,0.9989846,0.000304799,0.0005194551],"genre_scores_gemma":[0.0002303164,0.00006760803,0.0001503218,0.0001012413,0.00001517682,0.00007800056,0.9981897,0.0002304717,0.0009371294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5799882,"threshold_uncertainty_score":0.8272827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251686868037026,"score_gpt":0.2553380675722082,"score_spread":0.2301693807685056,"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."}}