{"id":"W6925204840","doi":"10.17605/osf.io/w9th6","title":"When We Move Together","year":2025,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Law, Ethics, and AI Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01245717,0.000921711,0.0009741817,0.002359625,0.01796993,0.03258019,0.002163827,0.0117446,0.1072141],"category_scores_gemma":[0.05651869,0.0007781746,0.001220317,0.001732555,0.02235674,0.04140438,0.02131261,0.02433755,0.04834952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005260837,"about_ca_system_score_gemma":0.01063047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008961919,"about_ca_topic_score_gemma":0.01406246,"domain_scores_codex":[0.9828676,0.005734593,0.0005303376,0.001850055,0.005300099,0.003717416],"domain_scores_gemma":[0.9811521,0.003218716,0.0009637492,0.002358637,0.00571255,0.006594189],"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":[0.00006626707,0.0000807689,0.001477908,0.0001006511,0.00004662733,0.0004651299,0.0255078,0.0001027503,0.0005296497,0.3506388,0.5650702,0.05591342],"study_design_scores_gemma":[0.00001158844,0.00001632564,0.0006101422,0.0001919191,0.0000142988,0.000105199,0.02361199,0.00005290727,0.0001673648,0.1196009,0.8555802,0.00003711637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006534926,0.004528953,0.008080607,0.6959801,0.02295409,0.00006561438,0.0001966243,0.0004824456,0.2611767],"genre_scores_gemma":[0.2052388,0.00533557,0.01142835,0.3863049,0.01062582,0.0003607525,0.0006315062,0.002632822,0.3774415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1072141,"threshold_uncertainty_score":0.358667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038942693407607,"score_gpt":0.2617788671096721,"score_spread":0.241389440175596,"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."}}