{"id":"W4393873887","doi":"10.5281/zenodo.10324824","title":"Coffin Head Fragment - AA2190.A.1","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coffin; Fragment (logic); Head (geology); Computer science; Anatomy; Biology; Paleontology; Algorithm","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":[0.0003251701,0.003225382,0.001150918,0.003169602,0.0009767235,0.00159263,0.001806442,0.001722037,0.04546925],"category_scores_gemma":[0.001425749,0.0005101424,0.001044687,0.004585078,0.0004581325,0.00102225,0.001276769,0.001113991,0.0821735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289613,"about_ca_system_score_gemma":0.001502477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04545792,"about_ca_topic_score_gemma":0.110511,"domain_scores_codex":[0.9995311,0.00003692411,0.00003978317,0.0001880684,0.0001123059,0.00009174967],"domain_scores_gemma":[0.9994611,0.00007941829,0.00006685421,0.0001499739,0.0001784405,0.00006421108],"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":[0.000154397,0.00004865134,0.002336221,0.0007078586,0.00003738565,0.00008347145,0.00004532746,0.0004307408,0.0007048734,0.0002913179,0.9885616,0.006598138],"study_design_scores_gemma":[0.0001543976,0.00002687858,0.01749357,0.0002370606,0.00004074235,0.0001994478,0.0001993151,0.0007763322,0.001289109,0.000627909,0.9789172,0.00003804293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009687306,0.0002043822,0.0001164287,0.00003724171,0.00002900838,0.00001810637,0.9966029,0.0008208176,0.001202393],"genre_scores_gemma":[0.0008721667,0.00006502796,0.0002865389,0.00001397106,0.000005788901,0.00003421906,0.9978551,0.00006527936,0.00080174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04546925,"threshold_uncertainty_score":0.1521098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967044210942494,"score_gpt":0.2472752692369441,"score_spread":0.2176048271275191,"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."}}