{"id":"W6912615580","doi":"10.5281/zenodo.6112709","title":"Prochyliza brevicornis","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Species richness; Arctic; Range (aeronautics); Abundance (ecology); Biodiversity","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":[0.0001154077,0.0007342111,0.0001978847,0.001439068,0.000919619,0.0002926077,0.0004001206,0.0001849951,0.008403663],"category_scores_gemma":[0.0002343922,0.0001961422,0.0001032162,0.0006095637,0.0002826144,0.0003748337,0.000634218,0.0003005046,0.002924615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004842438,"about_ca_system_score_gemma":0.0001847444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771948,"about_ca_topic_score_gemma":0.04281547,"domain_scores_codex":[0.9998395,0.00001212252,0.00001238242,0.00006426761,0.00005119592,0.00002039056],"domain_scores_gemma":[0.9997918,0.00001478653,0.00009172783,0.00003041461,0.0000493612,0.00002187544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005872215,0.0001841054,0.1972014,0.0006798265,0.0001003165,0.001421612,0.001800023,0.000613778,0.3978536,0.001626186,0.006677873,0.3912539],"study_design_scores_gemma":[0.00002973239,0.0002580023,0.9355271,0.0002064325,0.0000508514,0.001635837,0.000693833,0.0003033432,0.006920039,0.0002207532,0.05413784,0.0000161878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757803,0.004220836,0.001726026,0.0001404917,0.00005823242,0.0001531374,0.003347019,0.0003661833,0.1142077],"genre_scores_gemma":[0.9725524,0.001044876,0.002452818,0.0001390944,0.0000269128,0.00009584371,0.002525089,0.00003843656,0.02112455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771948,"threshold_uncertainty_score":0.03523266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06525295780093211,"score_gpt":0.2422865618293064,"score_spread":0.1770336040283743,"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."}}