{"id":"W6930208624","doi":"10.5281/zenodo.12246567","title":"Imm 5257 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Filter (signal processing); Tubulopathy; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008403687,0.001657275,0.001251125,0.003307279,0.00174132,0.00826263,0.002778586,0.002529138,0.9057609],"category_scores_gemma":[0.003754417,0.00104191,0.001051138,0.002683768,0.0007135185,0.005135726,0.003115121,0.002396717,0.8760225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835972,"about_ca_system_score_gemma":0.002166518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732442,"about_ca_topic_score_gemma":0.005446355,"domain_scores_codex":[0.9990306,0.00005380983,0.00005465065,0.0001412459,0.0006023861,0.0001173562],"domain_scores_gemma":[0.9976633,0.0002325457,0.00008533847,0.0002554819,0.001323113,0.0004402685],"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":[0.00008555127,0.00005411054,0.00005894219,0.0003598705,0.000005019685,0.0000907563,0.00003470109,0.0001036625,0.001721378,0.002775416,0.9313023,0.06340816],"study_design_scores_gemma":[0.000009938569,0.00001672241,0.0001139138,0.00005763179,0.000002882145,0.00007776788,0.00002529884,0.00004621734,0.0008053237,0.0005369264,0.9982995,0.000007755069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000372353,0.00128124,0.002753611,0.00102145,0.002838057,0.0002140504,0.01997444,0.008231521,0.9633133],"genre_scores_gemma":[0.001587103,0.0009730068,0.001100496,0.0006219148,0.0003652361,0.00007556225,0.01281029,0.002116608,0.9803499],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09423906,"threshold_uncertainty_score":0.1344206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935859382278315,"score_gpt":0.2226395335107218,"score_spread":0.2032809396879386,"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."}}