{"id":"W6948477351","doi":"10.5281/zenodo.11057286","title":"Linked collectors and determiners for: New Brunswick Museum - Vascular Plants.","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attribution; Natural (archaeology); Biodiversity; Natural history","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":[0.001411382,0.001946447,0.00159355,0.006615656,0.001463988,0.003129605,0.003507153,0.001399328,0.1306591],"category_scores_gemma":[0.007673641,0.00120842,0.0006442985,0.01489316,0.0005890165,0.001649034,0.002326546,0.002312966,0.1255399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007138206,"about_ca_system_score_gemma":0.01160676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3495274,"about_ca_topic_score_gemma":0.5601833,"domain_scores_codex":[0.9985169,0.0001152885,0.000170935,0.0004421328,0.0004519396,0.0003028299],"domain_scores_gemma":[0.9948624,0.0006271682,0.0005426236,0.001236985,0.002220316,0.0005105412],"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":[0.00001867039,0.00000464597,0.0006285601,0.0002630235,0.00001031292,0.00001225248,0.00003038804,0.00006874413,0.0001077889,0.0005199757,0.9964492,0.001886412],"study_design_scores_gemma":[0.00003435878,0.000001881368,0.002710228,0.0001542602,0.000007823641,0.00001317876,0.0000671431,0.00005786453,0.0002287312,0.0004835966,0.9962252,0.00001582976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004333441,0.00002647214,0.00004564811,0.00002748258,0.00001568807,0.000008214329,0.9987749,0.0001328761,0.0009254302],"genre_scores_gemma":[0.0002370709,0.00003748782,0.0002990414,0.0000275045,0.000003424673,0.0000632146,0.9972426,0.0001080914,0.001981568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6504726,"threshold_uncertainty_score":0.6949859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058270272311351,"score_gpt":0.2127098089281235,"score_spread":0.16212710620501,"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."}}