{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002568227,0.003277709,0.001885328,0.001808551,0.001104741,0.004117413,0.007841675,0.002518083,0.3347292],"category_scores_gemma":[0.007844328,0.003566123,0.003378193,0.001230545,0.000870983,0.004343751,0.004574266,0.003992889,0.448873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039372,"about_ca_system_score_gemma":0.001314754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009715836,"about_ca_topic_score_gemma":0.01048833,"domain_scores_codex":[0.9988757,0.0001136853,0.00007410973,0.0003654015,0.0003888134,0.0001823436],"domain_scores_gemma":[0.9978926,0.0003973936,0.00008505896,0.0008234179,0.0005217927,0.0002797964],"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":[0.0002435104,0.00003923696,0.0007873636,0.0004100582,0.0001466191,0.00007933223,0.0001067174,0.001511651,0.001715136,0.00282763,0.9754636,0.01666928],"study_design_scores_gemma":[0.000359029,0.00007621251,0.002288131,0.0001903968,0.00008097057,0.0002067891,0.00003600518,0.01008962,0.009754815,0.01034654,0.9663723,0.0001991662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009638879,0.0001334747,0.0400867,0.0001662069,0.0004967998,0.00012737,0.08347732,0.8561102,0.01843796],"genre_scores_gemma":[0.007409796,0.0001180255,0.02965863,0.0004583633,0.0001347529,0.0003616962,0.1724745,0.7669531,0.02243122],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3347292,"threshold_uncertainty_score":0.9489281,"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."}}