{"id":"W4398726761","doi":"10.7910/dvn/fmk6sq/omrqnx","title":"635960_6.roi","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; Computer graphics (images)","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":[0.001272668,0.003248555,0.00220572,0.0046631,0.001051911,0.003557024,0.004107801,0.003289743,0.2296102],"category_scores_gemma":[0.007965121,0.001044973,0.001871035,0.006782447,0.0007167127,0.002415187,0.002928708,0.002008292,0.3038974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820894,"about_ca_system_score_gemma":0.002348554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02955085,"about_ca_topic_score_gemma":0.04472275,"domain_scores_codex":[0.9987533,0.0002668538,0.000109438,0.00041159,0.0002342748,0.0002245399],"domain_scores_gemma":[0.9975936,0.0007242135,0.0002058669,0.0005895703,0.0005780396,0.0003087129],"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":[0.00003759102,0.000008712656,0.0001636627,0.0004061889,0.00001936541,0.000006028466,0.000009548033,0.0001285757,0.00004460771,0.0002653235,0.9978872,0.001023219],"study_design_scores_gemma":[0.0003415304,0.00002742613,0.001469124,0.000362494,0.00004115945,0.00003895108,0.0000544435,0.0004912684,0.0003106999,0.001738072,0.9950891,0.00003571639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005589537,0.00008779859,0.00004486824,0.00009178164,0.00003304429,0.000006387541,0.9982702,0.0005862357,0.0008238021],"genre_scores_gemma":[0.000288024,0.00007344512,0.0001757128,0.00008755584,0.00001516227,0.00004601029,0.99815,0.0001970129,0.0009670811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7703898,"threshold_uncertainty_score":0.7681228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486080057394445,"score_gpt":0.2548953850713087,"score_spread":0.2300345844973643,"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."}}