{"id":"W6950290298","doi":"10.5281/zenodo.8071645","title":"Melangyna quadrimaculata","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Work (physics); Process (computing); Action (physics)","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":[0.00006499872,0.0003777526,0.000164492,0.0008557771,0.001078574,0.0003079529,0.0002450326,0.0002302559,0.006543294],"category_scores_gemma":[0.0002244084,0.0001667073,0.0001255581,0.0003292528,0.0004939693,0.0004206508,0.0008469599,0.0003306542,0.001711029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279144,"about_ca_system_score_gemma":0.0002122667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401742,"about_ca_topic_score_gemma":0.03466351,"domain_scores_codex":[0.9999233,0.000009068091,0.000005537823,0.00003780844,0.00001241715,0.00001191778],"domain_scores_gemma":[0.9999298,0.00001077138,0.00002466792,0.0000103118,0.0000142502,0.00001009946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006850029,0.0001120975,0.08824755,0.0009058675,0.0001461347,0.002585868,0.00222486,0.00257353,0.1183797,0.01193241,0.01676647,0.7554407],"study_design_scores_gemma":[0.00005343568,0.0002096601,0.7638419,0.0003093521,0.0000801945,0.005729292,0.001022941,0.0009470336,0.004524823,0.001472746,0.22177,0.00003858427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7192481,0.009737115,0.00471967,0.0004825775,0.0002045218,0.00023027,0.002408442,0.0006674206,0.2623019],"genre_scores_gemma":[0.9802977,0.001241919,0.001867602,0.0002487905,0.0000421562,0.00007805423,0.0007618535,0.00003830748,0.01542362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401742,"threshold_uncertainty_score":0.02787167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167030592283843,"score_gpt":0.2151790298348152,"score_spread":0.1835087239119767,"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."}}