{"id":"W4231546346","doi":"10.12688/f1000research.20352.1","title":"Pathfinder: open source software for analyzing spatial navigation search strategies","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Pathfinder; Computer science; Spatial memory; Morris water navigation task; Mnemonic; Software; Spatial learning; Artificial intelligence; Water maze; Machine learning; Human–computer interaction; Neuroscience; Cognitive psychology; Working memory; Psychology; Cognition; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002059968,0.0004314821,0.0005823649,0.000346054,0.0006532905,0.002113721,0.003481594,0.0004809595,0.0004574351],"category_scores_gemma":[0.001497036,0.0004106533,0.0002089665,0.0004584349,0.0001831765,0.0005686451,0.005591107,0.001915263,0.0004098899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605656,"about_ca_system_score_gemma":0.001374942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003714863,"about_ca_topic_score_gemma":0.00003489726,"domain_scores_codex":[0.9943885,0.0009878442,0.0005160003,0.00169876,0.001348132,0.001060724],"domain_scores_gemma":[0.9961874,0.001667344,0.0001984169,0.001276312,0.0004012582,0.0002692337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001289386,0.000320309,0.0005794027,0.003131956,0.00005380559,0.0001300078,0.001660773,0.02301445,0.8628203,0.005153136,0.002897292,0.09894916],"study_design_scores_gemma":[0.0008996667,0.0004971728,0.0002131406,0.0004601663,0.00002302071,0.00001752954,0.0003551006,0.02808008,0.9441968,0.02312016,0.001501544,0.0006355758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7331836,0.00009398883,0.2536679,0.0007936092,0.001445313,0.008407518,0.0006352102,0.0003582125,0.001414699],"genre_scores_gemma":[0.9883576,0.00008034934,0.001960329,0.000198296,0.0005071598,0.000741916,0.0003053653,0.0001558184,0.007693178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.255174,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2605041425870919,"score_gpt":0.4368681371182924,"score_spread":0.1763639945312004,"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."}}