{"id":"W1487101415","doi":"10.1609/hcomp.v2i1.13137","title":"Phylo and Open-Phylo: A Human-Computing Platform for Comparative Genomics","year":2014,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Human Computation and Crowdsourcing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genomics; Comparative genomics; Computer science; Open science; Field (mathematics); Open source; Data science; Biology; Genetics; Genome; Gene","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00398926,0.0002013261,0.000419952,0.00022747,0.001290515,0.002166874,0.001197297,0.00004613593,0.00001327813],"category_scores_gemma":[0.0004268298,0.0001460521,0.0000684851,0.0003180458,0.0002408871,0.0003550378,0.001168047,0.0001433101,0.000004563463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986935,"about_ca_system_score_gemma":0.00002345699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002684928,"about_ca_topic_score_gemma":0.00001131239,"domain_scores_codex":[0.9977631,0.00003014996,0.0006531448,0.0007517778,0.0005303355,0.0002715242],"domain_scores_gemma":[0.9977813,0.0005610411,0.0007418974,0.0002325715,0.0005826585,0.000100479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001132786,0.0001761388,0.003657752,0.0001693514,0.00007247081,1.497851e-7,0.01835717,0.002670519,0.02219819,0.8195386,0.009220793,0.1238256],"study_design_scores_gemma":[0.001968934,0.0004346057,0.02294242,0.0003361419,0.00004424961,0.000005586503,0.007554799,0.6743407,0.003253047,0.2854098,0.003265051,0.0004447431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651324,0.00001116747,0.01890969,0.0005886302,0.0001659266,0.0005992447,0.000007097677,0.00003508497,0.01455077],"genre_scores_gemma":[0.9955997,7.880431e-7,0.003501575,0.0002099986,0.00007242779,0.00000793297,0.000004100268,0.00001027537,0.0005931499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6716701,"threshold_uncertainty_score":0.9988689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3266005297275615,"score_gpt":0.4420037016325501,"score_spread":0.1154031719049887,"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."}}