{"id":"W4398606310","doi":"10.7910/dvn/ohwwnr/z49gh1","title":"11 ZebraScotopic-DSC006ZebraGroupPlains.out_Sobel_thr0.3.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Quasicrystal Structures and Properties","field":"Materials Science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006007404,0.003566108,0.002321643,0.004092055,0.001193125,0.002992209,0.004628527,0.00317718,0.1199181],"category_scores_gemma":[0.003488745,0.001094989,0.001926093,0.006110873,0.0006173798,0.001918612,0.002851543,0.001866977,0.1766868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485561,"about_ca_system_score_gemma":0.002070981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405575,"about_ca_topic_score_gemma":0.03244366,"domain_scores_codex":[0.9992751,0.00008756038,0.00005474812,0.0002534224,0.0001978108,0.0001312418],"domain_scores_gemma":[0.9989809,0.0002548623,0.0001230538,0.0002781724,0.0002281658,0.0001348577],"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":[0.0001304532,0.000023421,0.0009194229,0.001806676,0.00006520611,0.00004915307,0.00002632425,0.0004339798,0.0004228514,0.0008570977,0.9924709,0.002794556],"study_design_scores_gemma":[0.000276802,0.00002013904,0.002278947,0.0002742762,0.00004870353,0.00007133732,0.00004488423,0.0004238781,0.0007687928,0.001728657,0.9940317,0.00003174626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002167029,0.0002616081,0.00009309271,0.00004250851,0.00001895137,0.000007570286,0.9972031,0.00108812,0.001068464],"genre_scores_gemma":[0.0006086241,0.0001482109,0.0002730669,0.00005003033,0.000006356664,0.00004242186,0.9978504,0.0001928064,0.0008280713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8800819,"threshold_uncertainty_score":0.401166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273889972317974,"score_gpt":0.2253788978775932,"score_spread":0.2126399981544135,"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."}}