{"id":"W2322899656","doi":"10.5281/zenodo.12599","title":"hubminer: Hub Miner","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002661038,0.0001747647,0.0001666788,0.0000378992,0.001372255,0.0003333975,0.0007738179,0.00008824825,0.02556717],"category_scores_gemma":[0.0007527596,0.0001817588,0.00007229134,0.0001810748,0.0001658639,0.00009712708,0.0008171989,0.0002454033,0.002892649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007413136,"about_ca_system_score_gemma":0.00000143287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004424255,"about_ca_topic_score_gemma":7.710064e-8,"domain_scores_codex":[0.9986697,0.00004504466,0.0002257967,0.0004192204,0.0002787582,0.0003614797],"domain_scores_gemma":[0.9988784,0.00003395937,0.00008518032,0.0005496578,0.000289816,0.0001630498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006554715,0.0001622414,0.00002127759,0.0003477378,0.00008337377,0.00001117824,0.0005567266,0.00001287876,0.5212252,0.001008445,0.3991118,0.0773936],"study_design_scores_gemma":[0.0004190106,0.00002534442,0.000043436,0.00002926534,0.00001466676,0.00008284737,0.0002092633,0.0001308245,0.07188059,0.0001194193,0.926842,0.0002033618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1070199,0.00006878356,0.0003001579,0.0005510114,0.00004167275,0.00005220992,0.0001090407,0.0007703532,0.8910868],"genre_scores_gemma":[0.977527,0.00003122946,0.0001035363,0.0001010956,0.0004775788,4.301365e-8,0.001259218,0.0007610975,0.0197392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8713477,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442697174389501,"score_gpt":0.2248614016649542,"score_spread":0.2004344299210593,"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."}}