{"id":"W4398435701","doi":"10.7910/dvn/ohwwnr/5ydhfa","title":"04 ZebraPhotopicLuminanceAdjusted-DSC039ZebraWoodlands_Sobel_thr0.15.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Astronomical Observations and Instrumentation","field":"Engineering","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); Edge detection","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":[0.00008562633,0.0003840654,0.0003743053,0.0001637541,0.0000917984,0.00008288811,0.0004945424,0.0002951102,0.01938715],"category_scores_gemma":[0.00002755097,0.0003449267,0.0001249486,0.0001417558,0.00006980044,0.0005851599,0.0001366817,0.0003089923,0.04561953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797186,"about_ca_system_score_gemma":0.00004458605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009937477,"about_ca_topic_score_gemma":0.00007267601,"domain_scores_codex":[0.9985519,0.0000248201,0.0004482591,0.0003580139,0.0002116815,0.0004053026],"domain_scores_gemma":[0.9986858,0.00004395309,0.0001160279,0.0009783279,0.00003672349,0.0001391863],"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":[0.00000741061,0.00002030932,0.00004539665,0.00009697742,0.00007442199,0.000007838865,0.000005322078,0.00004542898,0.00009428215,0.00004868746,0.9975118,0.00204213],"study_design_scores_gemma":[0.000580355,0.00002883279,0.0002796543,0.0001460343,0.0000703767,0.000003774515,0.00001554181,0.0002605412,0.0002568852,0.00002277455,0.9979212,0.0004140815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001219935,0.000003080378,0.0006395453,0.000004462152,0.00127178,0.000271147,0.9960154,0.0001845787,0.0003900435],"genre_scores_gemma":[0.0004106903,0.0004186201,0.0004151178,0.0001054973,0.0004423057,0.00006244142,0.9979271,0.0000467249,0.0001715217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02623237,"threshold_uncertainty_score":0.9999003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091814579401175,"score_gpt":0.2060975663034292,"score_spread":0.1951794205094174,"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."}}