{"id":"W4398627506","doi":"10.7910/dvn/ohwwnr/lxxb4u","title":"02 HumanPhotopic-DSC012SolitaryZebraPlains.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":"ZEBRA (computer); Predation; Zoology; Biology; Cartography; Geography; Art; Ecology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002071773,0.0003534032,0.0003031984,0.00007626461,0.0002897766,0.00006944175,0.0008928269,0.000280479,0.1248311],"category_scores_gemma":[0.0000684035,0.0002885172,0.0001339248,0.0001532915,0.0003098865,0.0002328511,0.000688386,0.0003261122,0.5011907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348597,"about_ca_system_score_gemma":0.00002829699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130426,"about_ca_topic_score_gemma":0.0007119544,"domain_scores_codex":[0.9979325,0.00007535514,0.0003306017,0.0007404315,0.000452665,0.0004684545],"domain_scores_gemma":[0.9973296,0.00007054542,0.0001730294,0.002203542,0.000009895722,0.0002134139],"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":[0.000006921438,0.00004895148,0.00001130345,0.00001391985,0.00002169898,0.00003140011,0.00001455955,0.000002695611,0.0001759529,0.00002144589,0.9975731,0.002078044],"study_design_scores_gemma":[0.000246539,0.00002290353,0.0001548204,0.00004875323,0.00005975378,0.00002396841,0.00001303842,0.00001174503,0.0000772142,0.0001805903,0.9987695,0.0003911509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001021861,6.341256e-7,0.00008602592,0.0000274272,0.0003836054,0.0003155435,0.9871496,0.00007818177,0.01185677],"genre_scores_gemma":[0.00005458672,0.0001800333,0.000462943,0.000632295,0.0003171952,0.00001128716,0.9946458,0.00002877133,0.003667082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3763596,"threshold_uncertainty_score":0.9999567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081973448565698,"score_gpt":0.2287157799996838,"score_spread":0.2178960455140268,"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."}}