{"id":"W1964368931","doi":"","title":"MIXED CLUSTERS OF H$_2$ AND H$_2$O: INSIGHTS FROM THEORY AND SIMULATIONS","year":2011,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005893773,0.0005974259,0.001295804,0.0008641231,0.002913123,0.002722099,0.002504579,0.001780063,0.01011822],"category_scores_gemma":[0.00170203,0.0008013753,0.0007958486,0.0007051048,0.002410283,0.003308667,0.001789681,0.00133425,0.0004209515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002497754,"about_ca_system_score_gemma":0.001525895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02770683,"about_ca_topic_score_gemma":0.03587913,"domain_scores_codex":[0.9997364,0.00005091433,0.000008504023,0.00004141522,0.00006437912,0.00009852547],"domain_scores_gemma":[0.9990788,0.0004591766,0.00005583368,0.00009058553,0.00009508812,0.0002205508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009087909,0.0005534025,0.004862374,0.0003939129,0.000193132,0.0005141183,0.0007203605,0.6497194,0.004589606,0.3124909,0.0152575,0.009796473],"study_design_scores_gemma":[0.0002711465,0.00008019723,0.00131096,0.00002158329,0.00002907364,0.00002024925,0.0003349164,0.9455009,0.0007656785,0.0502444,0.001386785,0.00003409888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522662,0.0006955937,0.01379304,0.003155842,0.0003047457,0.00009807154,0.0003436573,0.0002363174,0.02910647],"genre_scores_gemma":[0.9928949,0.0002129985,0.002914061,0.0003031312,0.00007591944,0.0001075835,0.0002596139,0.00007273427,0.003159074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02770683,"threshold_uncertainty_score":0.05509114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789636081086632,"score_gpt":0.2133621572370379,"score_spread":0.1954657964261716,"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."}}