{"id":"W6950741501","doi":"10.5281/zenodo.6952244","title":"Endromopoda producta","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Climate change; Event (particle physics); Context (archaeology)","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":[0.00008641827,0.0009230531,0.000301176,0.001474436,0.001038239,0.0004610028,0.0005210775,0.0003980347,0.03372092],"category_scores_gemma":[0.0003170481,0.0002371939,0.0002393941,0.0007349068,0.0003209304,0.0008469195,0.0005963973,0.0004837082,0.00988015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712648,"about_ca_system_score_gemma":0.000175903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548967,"about_ca_topic_score_gemma":0.006153797,"domain_scores_codex":[0.999867,0.00001098385,0.00001247398,0.00004556651,0.0000415691,0.00002233945],"domain_scores_gemma":[0.9998317,0.00002211151,0.00006594701,0.00002759153,0.00003725395,0.00001539958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007199073,0.0002166794,0.04979112,0.001322917,0.00006651754,0.001776833,0.001160484,0.0006252116,0.05091206,0.009784769,0.0405739,0.8430496],"study_design_scores_gemma":[0.00008192016,0.0005512084,0.3594729,0.0008023328,0.00009359993,0.006152271,0.0007267105,0.0005430455,0.004230826,0.001334608,0.6259773,0.00003329461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3530567,0.01288959,0.007558926,0.0003271327,0.0003629315,0.0005540102,0.01123016,0.0005879738,0.6134326],"genre_scores_gemma":[0.7847517,0.008376385,0.01156943,0.0003996914,0.0003592709,0.0004631458,0.01236381,0.0001439144,0.1815726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03372092,"threshold_uncertainty_score":0.1128077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578621473865547,"score_gpt":0.219329850597038,"score_spread":0.1935436358583825,"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."}}