{"id":"W4398344309","doi":"10.7910/dvn/ohwwnr/q27h0e","title":"06 HumanPhotopicLuminanceAdjusted-DSC158ZebraModelWoodlands_Sobel_thr0.3.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sobel operator; ZEBRA (computer); Predation; Zoology; Cartography; Biology; Geography; Art; Computer science; Ecology; Artificial intelligence; Image processing; Operating system","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":[0.0005122374,0.003830265,0.001382345,0.002520388,0.0006724233,0.002123517,0.003228899,0.002002282,0.1497813],"category_scores_gemma":[0.002106284,0.000871274,0.001798516,0.003393763,0.0004204602,0.001618042,0.002511899,0.001361855,0.227873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138506,"about_ca_system_score_gemma":0.001383738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03009034,"about_ca_topic_score_gemma":0.07640289,"domain_scores_codex":[0.9994973,0.00005555452,0.00003563004,0.000167439,0.0001201236,0.000123938],"domain_scores_gemma":[0.9993414,0.00009554205,0.00005523262,0.0002417139,0.0001864002,0.00007954476],"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":[0.00004014026,0.00001419538,0.0006759388,0.0003283648,0.00002362863,0.00001542547,0.00001341007,0.0002640072,0.00009375621,0.0002153305,0.9961185,0.002197208],"study_design_scores_gemma":[0.0002112547,0.00001599387,0.003642572,0.0001931929,0.00002745048,0.00007543662,0.00008144214,0.0007989517,0.0006540675,0.001402443,0.992861,0.00003617077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001522135,0.0000608654,0.00008982935,0.00003726362,0.00002655505,0.000007260973,0.9973063,0.00150652,0.0008131179],"genre_scores_gemma":[0.0004565854,0.00004679442,0.0003143231,0.00003143217,0.000007100633,0.00002708501,0.9978956,0.0002336338,0.0009874318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502187,"threshold_uncertainty_score":0.5010684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340746882673986,"score_gpt":0.2327322238534955,"score_spread":0.2193247550267556,"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."}}