{"id":"W6945693987","doi":"10.25549/whittington-ouc17038190","title":"Niagara Falls summer &amp; winter, New York and Ontario, Canada, 1941","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Studio; Shore; Work (physics); Point (geometry); Reproduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000610001,0.001451583,0.0009483407,0.004426875,0.002086755,0.002980567,0.001550408,0.000604442,0.08112757],"category_scores_gemma":[0.004462322,0.000697212,0.0005039378,0.01406032,0.0006211483,0.001041143,0.001130064,0.001204304,0.09214542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008320581,"about_ca_system_score_gemma":0.01402874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8250534,"about_ca_topic_score_gemma":0.9441122,"domain_scores_codex":[0.9991993,0.00004609214,0.00006847508,0.0001819586,0.0003378917,0.0001662291],"domain_scores_gemma":[0.9962843,0.000263248,0.0002166563,0.0006345923,0.002152301,0.0004490092],"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":[0.00001552731,0.000003445781,0.0008217322,0.00009530238,0.000003723301,0.000007857395,0.00002509479,0.00004045483,0.00002155296,0.000188422,0.9972301,0.001546837],"study_design_scores_gemma":[0.00003372674,0.00000347165,0.01432568,0.0001548726,0.000006426677,0.00001957996,0.0002847606,0.00006975883,0.0001138437,0.0001810394,0.9847956,0.00001119955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001928227,0.0000821123,0.00003250757,0.00006759419,0.0000332752,0.000007190929,0.9960609,0.0001376819,0.00338588],"genre_scores_gemma":[0.0008002913,0.0001546505,0.0001552528,0.00002213517,0.000009950334,0.0000337795,0.9914621,0.00008207429,0.007279762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1749466,"threshold_uncertainty_score":0.3519537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084991909313999,"score_gpt":0.2060198326810344,"score_spread":0.1751699135878945,"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."}}