{"id":"W4417538424","doi":"10.26434/chemrxiv-2025-l760l","title":"ThinkFactory 2025: Community Discussion on Harmonizing and Accelerating Self-Driving Laboratories","year":2025,"lang":"en","type":"article","venue":"ChemRxiv","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Argonne National Laboratory; Canada First Research Excellence Fund; Engineering and Physical Sciences Research Council; University of Toronto; Leverhulme Trust","keywords":"Event (particle physics); Key (lock); Openness to experience; Breakout; Interoperability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07165915,0.001051994,0.0005978252,0.001459979,0.01221547,0.01222343,0.004790407,0.009502516,0.03867841],"category_scores_gemma":[0.05863222,0.0007752872,0.001606217,0.001178127,0.005709309,0.00901664,0.02308368,0.01090265,0.004907876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007355304,"about_ca_system_score_gemma":0.01360396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241901,"about_ca_topic_score_gemma":0.005753453,"domain_scores_codex":[0.9731011,0.01700355,0.0005293814,0.001739723,0.003474634,0.004151572],"domain_scores_gemma":[0.9224575,0.0382531,0.001797385,0.004011648,0.008840094,0.02464027],"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":[0.001684668,0.0007809483,0.001583465,0.001051647,0.00008444092,0.001951843,0.08820879,0.002692437,0.006276844,0.08048876,0.7359972,0.07919894],"study_design_scores_gemma":[0.0003015593,0.0002378804,0.0007127022,0.0002237895,0.00001958297,0.0001469886,0.02697495,0.001052447,0.001855458,0.01966659,0.9486923,0.0001157888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1287083,0.002622638,0.210349,0.3998531,0.05636335,0.006810466,0.003421798,0.006124258,0.185747],"genre_scores_gemma":[0.6671215,0.001099385,0.1172577,0.05851543,0.009337512,0.008673506,0.003031048,0.004541882,0.1304221],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07165915,"threshold_uncertainty_score":0.3789743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929368040766105,"score_gpt":0.3788508955436986,"score_spread":0.1859140914670881,"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."}}