{"id":"W7031618837","doi":"","title":"Greedy Grit Detail","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World War II; Grit; Sculpture; State (computer science); Welding; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007889309,0.001146156,0.0007429701,0.002142148,0.002269302,0.006230341,0.001545313,0.001803808,0.8937277],"category_scores_gemma":[0.003457612,0.000527793,0.0007288776,0.001706405,0.0005026595,0.003595963,0.004018182,0.002077372,0.823721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178197,"about_ca_system_score_gemma":0.001613641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003220687,"about_ca_topic_score_gemma":0.007726789,"domain_scores_codex":[0.999236,0.00008870874,0.0000425693,0.0001316164,0.0003586922,0.0001424536],"domain_scores_gemma":[0.9983901,0.0001781019,0.00005134313,0.0002717378,0.0006764382,0.0004322847],"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":[0.00003207454,0.00002798707,0.0001390312,0.00009600478,0.000001922805,0.000088926,0.0001052154,0.00003199304,0.0001963813,0.004110952,0.9227006,0.07246891],"study_design_scores_gemma":[0.000002918298,0.000003934812,0.0001292503,0.00002795765,6.307923e-7,0.0000557743,0.00007656011,0.00001574312,0.00003975998,0.0004352507,0.9992096,0.000002465425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003557703,0.0005993971,0.00126082,0.001912476,0.002698737,0.0001430387,0.002511253,0.002382975,0.9881357],"genre_scores_gemma":[0.001698363,0.0005009976,0.0006262485,0.0009407421,0.0003076263,0.00005030527,0.00177374,0.001234583,0.9928675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937277,"threshold_uncertainty_score":0.1515845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334577441333135,"score_gpt":0.1896450028042043,"score_spread":0.1662992283908729,"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."}}