{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039335,0.003377988,0.001638379,0.003258688,0.0008757097,0.002601948,0.003606551,0.002414637,0.1554183],"category_scores_gemma":[0.003154333,0.0009642035,0.001870713,0.00444884,0.00052123,0.001920304,0.002755542,0.001619443,0.2432356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352013,"about_ca_system_score_gemma":0.001886455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02884003,"about_ca_topic_score_gemma":0.06373768,"domain_scores_codex":[0.9993831,0.00006814198,0.00005064838,0.0002111497,0.0001412604,0.0001457067],"domain_scores_gemma":[0.998953,0.0001886762,0.0001036968,0.000349561,0.0002834138,0.0001215958],"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":[0.000048288,0.00001214295,0.0005557699,0.0004586299,0.0000245282,0.00001276829,0.00001330836,0.0001628513,0.0000985465,0.0002096501,0.9969332,0.001470379],"study_design_scores_gemma":[0.0002797974,0.00001761944,0.003410198,0.0002356951,0.00003031005,0.00005084864,0.00006267937,0.0003982221,0.0005557062,0.001170885,0.9937508,0.00003716418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009653626,0.00005693326,0.00004190004,0.00003271436,0.00002360139,0.000005397141,0.9982538,0.0009226814,0.0005665567],"genre_scores_gemma":[0.0003506211,0.00005064529,0.0001894657,0.00003671443,0.000007459751,0.00002996893,0.998279,0.0002146444,0.0008414219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1554183,"threshold_uncertainty_score":0.5199261,"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."}}