{"id":"W3091795721","doi":"10.1038/s41597-020-00690-0","title":"GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Zoological museum, Lomonosov Moscow State University; Lomonosov Moscow State University; Leverhulme Trust","keywords":"Macroecology; Database; Biodiversity; Geography; Species distribution; Ecology; Galliformes; Taxon; Biology; Habitat","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005855277,0.0001179657,0.00012873,0.00001187692,0.0002620465,0.0001837549,0.001423229,0.00003132967,0.04856234],"category_scores_gemma":[0.0004259101,0.00008219002,0.00002452745,0.0004833405,0.0008980227,0.0005530803,0.002260592,0.0001267503,0.001277928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000368906,"about_ca_system_score_gemma":0.00002590776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003826947,"about_ca_topic_score_gemma":0.0007047322,"domain_scores_codex":[0.9983175,0.00004487517,0.000231609,0.0006517733,0.0004974767,0.0002567311],"domain_scores_gemma":[0.9983864,0.0001011611,0.000112489,0.001206824,0.00001652589,0.0001765516],"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":[0.00002833578,0.00006479109,0.1165128,0.00001873655,0.0000110692,0.000003577563,0.0006609166,0.00000101748,0.005161937,0.00009248007,0.8711672,0.00627718],"study_design_scores_gemma":[0.0003869483,0.00003811581,0.1706194,0.00003006788,0.00003281587,0.000003393711,0.002446379,0.001449044,0.001426487,0.00006154102,0.8232893,0.000216498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338389,0.0004462417,0.000297024,0.005836046,0.0007851433,0.0004256677,0.151989,0.00006188385,0.006320096],"genre_scores_gemma":[0.9773901,0.0003702038,0.0004754766,0.0009693918,0.00006357318,0.00001035848,0.02052729,0.000009228984,0.0001844262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1435512,"threshold_uncertainty_score":0.9994997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181699789533744,"score_gpt":0.276527385229699,"score_spread":0.1847103873343616,"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."}}