{"id":"W4237563302","doi":"10.1007/978-3-662-44185-5_100533","title":"Hot Molecular Core","year":2015,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Astrobiology","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Core (optical fiber); Materials science; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002268551,0.001009434,0.0006413623,0.00129401,0.0007147967,0.002256772,0.001189474,0.0008978341,0.3492064],"category_scores_gemma":[0.0004502345,0.0005303129,0.000362868,0.00116123,0.0004443539,0.003207976,0.002464701,0.001740971,0.2810696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007510021,"about_ca_system_score_gemma":0.0006151426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005563566,"about_ca_topic_score_gemma":0.002337947,"domain_scores_codex":[0.9998361,0.000009276723,0.000003638128,0.00003508425,0.00009061098,0.00002526947],"domain_scores_gemma":[0.999867,0.00001848661,0.000007990596,0.00002432663,0.0000370106,0.00004515804],"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":[0.00003559185,0.00003370961,0.00005153124,0.0003627455,0.000008903514,0.00004159308,0.00005612621,0.0002416612,0.005552582,0.02981826,0.6620303,0.301767],"study_design_scores_gemma":[0.000002652858,0.000007697375,0.00007635583,0.00005467783,0.000002456079,0.00005844765,0.000009811583,0.0001073435,0.001137923,0.005762306,0.9927748,0.000005530881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009887824,0.02242635,0.01317822,0.001704579,0.00367544,0.0001004213,0.00263111,0.004110114,0.951185],"genre_scores_gemma":[0.004023828,0.01034782,0.004655391,0.001161488,0.0006610854,0.00008974363,0.002229341,0.00106837,0.975763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3492064,"threshold_uncertainty_score":0.9282781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080141838667537,"score_gpt":0.2665490816232097,"score_spread":0.2457476632365344,"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."}}