{"id":"W7078122357","doi":"10.5281/zenodo.16988460","title":"Arctosa perita","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Work (physics)","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":[0.0002498328,0.0008573327,0.000577884,0.005387076,0.003354201,0.001123384,0.0009677568,0.0005988169,0.08047831],"category_scores_gemma":[0.0007471367,0.0003234627,0.0003417463,0.004317854,0.001363363,0.001565883,0.001664992,0.001310829,0.02233877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002443035,"about_ca_system_score_gemma":0.001910635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08447098,"about_ca_topic_score_gemma":0.186391,"domain_scores_codex":[0.9994555,0.00003467054,0.00003446083,0.0001736393,0.00021816,0.00008356218],"domain_scores_gemma":[0.9995758,0.00004884158,0.0001117,0.00005919884,0.0001657471,0.00003882065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004229289,0.00007703206,0.0163333,0.0015208,0.00006784966,0.001487023,0.003487228,0.0004199085,0.006097942,0.01437447,0.1538792,0.8018323],"study_design_scores_gemma":[0.00001122232,0.00002000269,0.02954118,0.0001798134,0.00002342288,0.0009524809,0.0004979089,0.00003677743,0.0004171699,0.000785881,0.9675205,0.00001372283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04511243,0.03230213,0.002990101,0.001649945,0.001627286,0.0004771867,0.02564905,0.002071572,0.8881203],"genre_scores_gemma":[0.5929746,0.01634373,0.008654395,0.00181521,0.001142843,0.0006483632,0.0434223,0.001116967,0.3338816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08447098,"threshold_uncertainty_score":0.2692268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226765697404319,"score_gpt":0.2303217771341767,"score_spread":0.2076452073937448,"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."}}