{"id":"W4280604010","doi":"","title":"Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Counterfactual thinking; Pixel; Space (punctuation); Unsupervised learning; Artificial intelligence; Computer science; Physics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.002831205,0.0003003801,0.0004449302,0.0001962958,0.0001707247,0.0004652239,0.00296284,0.0001517494,0.0001295603],"category_scores_gemma":[0.000554984,0.000357611,0.0001714762,0.0004998622,0.0001469689,0.0005338731,0.005091151,0.0009470216,0.00002726775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476178,"about_ca_system_score_gemma":0.0004478064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100813,"about_ca_topic_score_gemma":0.0002824671,"domain_scores_codex":[0.995496,0.002295739,0.0006114151,0.0008632443,0.000403931,0.0003296482],"domain_scores_gemma":[0.9953833,0.0009700737,0.0005975398,0.002348891,0.0005809292,0.000119289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003472581,0.001950384,0.01155195,0.0006688235,0.0001507311,0.00002360275,0.04695644,0.01456983,0.003105379,0.7865192,0.0009391598,0.1335297],"study_design_scores_gemma":[0.002695514,0.000005520048,0.008656782,0.003311979,0.00004786879,0.00001930847,0.001027889,0.8083628,0.07197484,0.03804981,0.06361178,0.002235876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2035211,0.0006677366,0.7168927,0.002839416,0.0004824905,0.0004982544,0.0001765617,0.0002686682,0.07465302],"genre_scores_gemma":[0.9556296,0.000154262,0.04127776,0.00007752928,0.0000150423,0.00005739022,0.0005338282,0.00003038032,0.002224238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.793793,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207668406696611,"score_gpt":0.2370510199019799,"score_spread":0.2049743358350138,"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."}}