{"id":"W4412072953","doi":"10.36510/learnland.vi29.1135","title":"Statement of Purpose","year":2025,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Statement (logic); Computer science; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000116971,0.0000405374,0.00006284744,0.00006983317,0.00002606257,0.000008660084,0.00003389414,0.0000218255,0.003567024],"category_scores_gemma":[0.00001753072,0.00003881073,0.00001907415,0.0000680225,0.000005117294,0.00003007069,0.000006759002,0.00006854448,0.0003575292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001580066,"about_ca_system_score_gemma":0.000005882564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.404456e-7,"about_ca_topic_score_gemma":0.000005582251,"domain_scores_codex":[0.9996939,0.00002001589,0.0001127607,0.00004536039,0.00006602765,0.00006195344],"domain_scores_gemma":[0.9998904,0.00001635539,0.00001378259,0.00005014822,0.00001798967,0.00001127141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001371435,0.00002976555,0.0218839,0.0003095986,0.00007638796,9.04254e-7,0.00240495,0.7900783,0.03636949,0.0002672926,0.07852167,0.07004397],"study_design_scores_gemma":[0.0006584926,0.00004985346,0.07433829,0.0001085931,0.00002799435,3.835014e-7,0.0006272668,0.1907096,0.004103625,0.0002380483,0.7289787,0.0001592092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949848,0.0001452498,0.006322749,0.00005156995,0.0003471372,0.00006262855,7.317978e-7,0.0002354629,0.04298647],"genre_scores_gemma":[0.995634,0.00004290517,0.000140417,0.00001232369,0.00003623173,0.000005603015,0.000008646625,0.000005119931,0.004114708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650457,"threshold_uncertainty_score":0.9973438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017992521132882,"score_gpt":0.2594971611877584,"score_spread":0.2493172359764296,"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."}}