{"id":"W6911708884","doi":"10.5281/zenodo.14872722","title":"jcmcnch/MicroheterotrophModelling: Public release pre-publication","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Government (linguistics); Public policy; Quality (philosophy); Public health","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":[],"consensus_categories":[],"category_scores_codex":[0.001428699,0.002030717,0.001434034,0.00116929,0.0007564285,0.002782135,0.003856767,0.002009431,0.1832144],"category_scores_gemma":[0.003026666,0.001607319,0.002248564,0.001055962,0.0004831338,0.00256496,0.001554685,0.002401305,0.12185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013044,"about_ca_system_score_gemma":0.002317919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546293,"about_ca_topic_score_gemma":0.01755888,"domain_scores_codex":[0.9993631,0.00008084787,0.00004155905,0.0001343918,0.0003051251,0.00007499159],"domain_scores_gemma":[0.9987088,0.0003502691,0.00006601193,0.0005042167,0.0002754574,0.00009521795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003366082,0.0001357234,0.001108107,0.001540233,0.0002272129,0.0001623988,0.0001400489,0.03069083,0.01148134,0.01576432,0.9067087,0.03170441],"study_design_scores_gemma":[0.0002579984,0.00005873407,0.001119461,0.0001737627,0.0001002325,0.000142962,0.00004719869,0.118389,0.02140718,0.01456406,0.84359,0.0001494368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005227169,0.0005308142,0.175988,0.0009261748,0.001085654,0.000435483,0.4361071,0.3003949,0.07930464],"genre_scores_gemma":[0.04259006,0.001411339,0.1393131,0.0006169265,0.0002741433,0.00195028,0.5697371,0.1641533,0.07995377],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1832144,"threshold_uncertainty_score":0.6129133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807775371123799,"score_gpt":0.2529296467214674,"score_spread":0.2148518930102294,"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."}}