{"id":"W7084104476","doi":"10.1109/iri66576.2025.00026","title":"Automatic Scientific Discoveries Using a Public Collection of Characterized Semantic Predications","year":2025,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inference; Metric (unit); Quality (philosophy); Scientific discovery; Semantics (computer science); Scientific literature; Context (archaeology)","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":[0.01377136,0.001672941,0.001550534,0.02818489,0.002281505,0.007270036,0.002658281,0.002426819,0.00617658],"category_scores_gemma":[0.07375254,0.0009035273,0.002342321,0.01366869,0.001697141,0.01020066,0.00600624,0.001778198,0.003996535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214428,"about_ca_system_score_gemma":0.00607078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862202,"about_ca_topic_score_gemma":0.005772122,"domain_scores_codex":[0.9895663,0.001963873,0.001298933,0.002352922,0.004567121,0.0002508345],"domain_scores_gemma":[0.9299916,0.0468285,0.005931065,0.009017204,0.007419144,0.0008125252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001802885,0.0008187525,0.06599472,0.005684504,0.00102583,0.003987604,0.005310965,0.03731335,0.02978831,0.07413175,0.04297062,0.7311708],"study_design_scores_gemma":[0.0002795819,0.0002971787,0.020983,0.001765407,0.00100053,0.002190654,0.002659239,0.5392667,0.05491017,0.2381131,0.1381569,0.0003774232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07633942,0.003024768,0.7909933,0.004115792,0.0002207147,0.0007854654,0.04601455,0.06170805,0.01679797],"genre_scores_gemma":[0.292639,0.001818234,0.646019,0.0003813895,0.0001579206,0.0005166695,0.05573628,0.001221785,0.001509631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02818489,"threshold_uncertainty_score":0.07283086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127179540241806,"score_gpt":0.3966691570903401,"score_spread":0.2694896168485341,"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."}}