{"id":"W3196590076","doi":"10.3897/biss.5.73702","title":"Is Your Collection Ambiguous?","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Ambiguity; Computer science; Documentation; Meaning (existential); Identifier; Task (project management); Data science; World Wide Web; Exploit; Natural (archaeology); Identity (music); Internet privacy; Information retrieval; History; Epistemology; Computer security; Engineering; Aesthetics","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":[],"consensus_categories":[],"category_scores_codex":[0.03020375,0.0007195231,0.001160334,0.004610119,0.0123464,0.01374067,0.002426465,0.003775446,0.05319936],"category_scores_gemma":[0.084317,0.001092377,0.0008114262,0.006427439,0.009028787,0.01650412,0.01274938,0.005544289,0.02455148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007322511,"about_ca_system_score_gemma":0.01068717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636715,"about_ca_topic_score_gemma":0.0260983,"domain_scores_codex":[0.9731476,0.01027863,0.003171706,0.003599527,0.008061165,0.001741459],"domain_scores_gemma":[0.9546714,0.0156652,0.006533767,0.00701247,0.01239268,0.003724413],"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":[0.0001277847,0.00002731706,0.01200532,0.001022207,0.00004488711,0.001316908,0.0378693,0.00004762222,0.0007950932,0.04705901,0.7554607,0.1442239],"study_design_scores_gemma":[0.000003885114,0.000007105133,0.002600192,0.0008648691,0.00001427411,0.0005979261,0.01237119,0.00002411985,0.0002458362,0.005688,0.9775503,0.00003241399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03151953,0.03198784,0.01414868,0.5328842,0.0426202,0.0004355049,0.009736088,0.001522242,0.3351457],"genre_scores_gemma":[0.2776005,0.0437314,0.02804891,0.370624,0.02464498,0.001035641,0.02151796,0.006416761,0.2263799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05319936,"threshold_uncertainty_score":0.1779696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055017822794247,"score_gpt":0.2613084584545659,"score_spread":0.2307582802266234,"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."}}