{"id":"W4398434607","doi":"10.7910/dvn/ohwwnr/9myzmw","title":"02 HumanPhotopic-DSC012SolitaryZebraPlains_Sobel_thr0.3.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sobel operator; Computer science; Artificial intelligence; Image processing; Image (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001901677,0.000579247,0.0004257195,0.0001496009,0.0001747426,0.00005355851,0.001281787,0.0007360996,0.00538399],"category_scores_gemma":[0.0001998855,0.0005129213,0.0002092858,0.00008318506,0.0002989462,0.00002020229,0.00105364,0.0003631762,0.01185591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008456266,"about_ca_system_score_gemma":0.0001631285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008847584,"about_ca_topic_score_gemma":0.0001318813,"domain_scores_codex":[0.9975483,0.00009065682,0.0004226032,0.001024392,0.0002745812,0.0006394471],"domain_scores_gemma":[0.9967242,0.00001841222,0.000253883,0.002714518,0.0001049292,0.0001840102],"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":[0.0000680087,0.00006095078,0.000009154827,0.00006752348,0.00007105153,0.00004595795,0.000002679622,2.143449e-7,0.09101546,0.00001885159,0.9082896,0.00035059],"study_design_scores_gemma":[0.0004013073,0.000187342,0.000007419197,0.0001420712,0.00005177065,0.00003004666,0.00000936482,2.884437e-7,0.07835753,0.00007264697,0.9201285,0.0006116919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000760345,0.00001882282,0.002166168,0.000006462833,0.0004839342,0.0004682873,0.9964228,0.00007423022,0.0002832195],"genre_scores_gemma":[0.00001687917,0.002636819,0.0038309,0.0006484453,0.0008409929,0.00009414279,0.9906601,0.00006895539,0.001202742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01265793,"threshold_uncertainty_score":0.9997323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008842919618106331,"score_gpt":0.2675678292903623,"score_spread":0.2587249096722559,"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."}}