{"id":"W4403488970","doi":"10.7554/elife.95764.3.sa1","title":"Reviewer #3 (Public review): Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Motion (physics); Computer science; Computer vision; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04548676,0.001812309,0.003769822,0.005581098,0.004003986,0.008463691,0.005654994,0.01679531,0.07580186],"category_scores_gemma":[0.3050021,0.001409933,0.003474253,0.003725655,0.002882595,0.005072456,0.004079633,0.006723929,0.04013397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006505426,"about_ca_system_score_gemma":0.01522196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033223,"about_ca_topic_score_gemma":0.008621459,"domain_scores_codex":[0.9699253,0.007317662,0.004585912,0.003004106,0.01373969,0.001427216],"domain_scores_gemma":[0.5054836,0.04529842,0.01867087,0.01429984,0.4018746,0.01437276],"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":[0.00004577066,0.000006248175,0.0001232045,0.0008608531,0.00002930135,0.00003826249,0.00002486214,0.00001735723,0.00005358211,0.00009853332,0.9940866,0.004615324],"study_design_scores_gemma":[0.0003232869,0.00005328624,0.002153547,0.003342599,0.0002050164,0.0002736598,0.0001543812,0.0002640719,0.0004127685,0.001324524,0.9914007,0.00009216146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004347142,0.009286046,0.00170621,0.3131315,0.665785,0.001063144,0.003107694,0.0008183466,0.004667392],"genre_scores_gemma":[0.01087345,0.01653614,0.003463106,0.4275838,0.4664805,0.004819973,0.003368578,0.001736939,0.06513754],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07580186,"threshold_uncertainty_score":0.2535825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2633457071914132,"score_gpt":0.4395621241168731,"score_spread":0.1762164169254599,"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."}}