{"id":"W6892453544","doi":"10.5281/zenodo.10247340","title":"Nehemitropia lividipennis","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Plant litter; Litter; Habitat; Table (database); National park","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006288249,0.0008122525,0.0004068133,0.001517982,0.0007089931,0.0002966269,0.0004065479,0.0003591198,0.02691537],"category_scores_gemma":[0.0001492795,0.0002020366,0.0001749426,0.0006295393,0.000254131,0.0007219469,0.0004757861,0.0006354877,0.01386431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000547118,"about_ca_system_score_gemma":0.0002912059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006670963,"about_ca_topic_score_gemma":0.01388403,"domain_scores_codex":[0.9999007,0.00001025642,0.000008590396,0.00003554778,0.00002792224,0.00001700599],"domain_scores_gemma":[0.9999477,0.000008608745,0.00001291623,0.000005105564,0.00001368036,0.00001199977],"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":[0.0008305015,0.0003132524,0.007788181,0.001246692,0.00005399893,0.003405868,0.001050861,0.001348121,0.1358438,0.005373152,0.04346057,0.799285],"study_design_scores_gemma":[0.00009554155,0.0005080035,0.08904976,0.000430159,0.00007972006,0.006900668,0.0007973501,0.0007469574,0.01359512,0.001558257,0.8861873,0.00005116517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1630744,0.01070246,0.006225065,0.0007600958,0.0006701639,0.000488179,0.01233775,0.001278577,0.8044633],"genre_scores_gemma":[0.7397012,0.005016502,0.007138836,0.0008048832,0.0001528272,0.0002412297,0.008954865,0.0001472183,0.2378425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02691537,"threshold_uncertainty_score":0.09004086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743249947840448,"score_gpt":0.2069227527840185,"score_spread":0.1794902533056141,"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."}}