{"id":"W6949210252","doi":"10.5281/zenodo.13131441","title":"Linked collectors and determiners for: New Brunswick Museum - General Invertebrates.","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Attribution; Biodiversity; Natural history; Citizen science","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":[0.001595931,0.002212348,0.001771557,0.006874581,0.001508463,0.003161424,0.003855318,0.001573751,0.1422729],"category_scores_gemma":[0.007728335,0.001442847,0.0008181896,0.01529461,0.0006006998,0.00159225,0.002344581,0.002360543,0.1413623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006994427,"about_ca_system_score_gemma":0.01189023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3405618,"about_ca_topic_score_gemma":0.544717,"domain_scores_codex":[0.9983164,0.0001288425,0.0001972249,0.000509345,0.0005129043,0.0003353459],"domain_scores_gemma":[0.994709,0.0006619289,0.000600018,0.001248141,0.002296338,0.000484515],"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":[0.00001963118,0.000004662979,0.0006995163,0.0002999463,0.00001263848,0.00001158673,0.00002579907,0.00007493926,0.0001107338,0.0004014631,0.9965271,0.001811935],"study_design_scores_gemma":[0.0000435254,0.000002417037,0.003442793,0.0002146352,0.00001180316,0.00001553895,0.00006423662,0.00006247796,0.0002711425,0.000464579,0.9953873,0.00001971255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003511879,0.00002308712,0.00003914053,0.00002213088,0.00001407814,0.000007215076,0.9990808,0.000117955,0.0006603579],"genre_scores_gemma":[0.0001971389,0.00003334435,0.0002722759,0.00002571111,0.000003091549,0.00005912667,0.9976472,0.0001134001,0.001648798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3405618,"threshold_uncertainty_score":0.677159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661040092003862,"score_gpt":0.263201640464803,"score_spread":0.2265912395447644,"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."}}