{"id":"W6968858514","doi":"10.5281/zenodo.3706333","title":"bird-house/finch: v0.4.0","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Computer Research Institute of Montréal","funders":"","keywords":"Process (computing); Selection (genetic algorithm); Troubleshooting; Expert system; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001527285,0.0001937077,0.0002316648,0.00005576753,0.0008030779,0.0005671112,0.00104444,0.0001625,0.1227586],"category_scores_gemma":[0.0002398622,0.00009171417,0.0001053376,0.0005702921,0.0001146361,0.00004208004,0.0007681419,0.0002601572,0.0351405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000373826,"about_ca_system_score_gemma":0.000001014774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002434924,"about_ca_topic_score_gemma":0.00001734858,"domain_scores_codex":[0.9985991,0.0001484134,0.0001917255,0.000457234,0.0003184021,0.0002851563],"domain_scores_gemma":[0.9993737,0.00001676148,0.0001534751,0.000143629,0.0001250331,0.0001873598],"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":[0.000006812937,0.00002379187,0.000002074904,0.00001503679,0.00005187921,0.000008894368,0.00003427992,0.00000111482,0.003333268,0.001137856,0.9022306,0.09315446],"study_design_scores_gemma":[0.00007458735,0.0001542876,0.0001821525,0.00001808867,0.00003002515,0.0000105148,0.00004557704,0.00002940975,0.00003726145,0.0001971717,0.9990152,0.0002057212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001064362,0.0002499174,0.0002022294,0.002368857,0.0001486848,0.0003392284,0.0004591991,0.01132023,0.9848052],"genre_scores_gemma":[0.3372703,0.005431621,0.0023113,0.008312079,0.01867575,3.316807e-7,0.01130161,0.04048821,0.5762088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4085965,"threshold_uncertainty_score":0.9656107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316457877070789,"score_gpt":0.2100165666873283,"score_spread":0.1768519879166204,"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."}}