{"id":"W6889136908","doi":"10.25545/xwgrbp/bfuhtv","title":"KnownIndividuals_4populations_genepop.txt","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Environment and Climate Change Canada; University of Manitoba; University of New Brunswick","funders":"","keywords":"Selection (genetic algorithm); Table (database); Process (computing); Identification (biology); Matching (statistics)","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":[0.002512375,0.003921581,0.002991321,0.004343532,0.002155361,0.004112164,0.005475334,0.00263847,0.1803822],"category_scores_gemma":[0.009348173,0.002123283,0.001765594,0.007079404,0.0008510072,0.001936226,0.003345347,0.003133635,0.1870065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478368,"about_ca_system_score_gemma":0.002395492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017368,"about_ca_topic_score_gemma":0.01750147,"domain_scores_codex":[0.9979485,0.0003692626,0.0001730101,0.0009146787,0.0003435222,0.0002510606],"domain_scores_gemma":[0.9962064,0.001438142,0.000302493,0.001189421,0.0005253542,0.0003381569],"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":[0.00008611939,0.00003333632,0.001045637,0.000952918,0.00007106033,0.00002527206,0.00007545455,0.0005823477,0.0003165062,0.0009156999,0.9919376,0.003958037],"study_design_scores_gemma":[0.0004018029,0.0000179697,0.002536688,0.0002496411,0.00006623199,0.00005706393,0.00007574631,0.0006309993,0.000870911,0.002824774,0.9922172,0.00005103259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002115556,0.00004372565,0.0003918321,0.00003226313,0.00002020351,0.00001889517,0.9964909,0.001765522,0.001025089],"genre_scores_gemma":[0.0004953712,0.00003448868,0.001019297,0.00004353085,0.000006262595,0.0001549177,0.9966042,0.0009262792,0.0007156526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8196179,"threshold_uncertainty_score":0.6034384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098278448180016,"score_gpt":0.3031349758833073,"score_spread":0.2721521914015071,"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."}}