{"id":"W6969113487","doi":"10.5281/zenodo.6580318","title":"Pelecocera","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Vertex (graph theory); Bristle; Seta; Occiput; Appendage","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":[0.0001097866,0.0008658668,0.0003162068,0.001972126,0.001264837,0.0005889188,0.0003557646,0.0004272358,0.1096169],"category_scores_gemma":[0.000404476,0.0001404496,0.0002072739,0.00109078,0.0002863098,0.001038537,0.0007259979,0.0004074614,0.02012337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007260252,"about_ca_system_score_gemma":0.0004366927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01895431,"about_ca_topic_score_gemma":0.03826675,"domain_scores_codex":[0.9998552,0.00001758233,0.00001496628,0.00004854313,0.00003323865,0.00003040444],"domain_scores_gemma":[0.999832,0.00001470166,0.0000371768,0.00001624296,0.00007589704,0.00002383967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001726831,0.00004566922,0.02264904,0.001138219,0.00004682465,0.0008037354,0.002019636,0.0002175026,0.01031252,0.009618443,0.1573527,0.7956231],"study_design_scores_gemma":[0.000004610623,0.00003228724,0.03472489,0.0001215083,0.000009981908,0.0007891807,0.0004298743,0.00002602473,0.0002537213,0.0002784719,0.9633226,0.000006874559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08597562,0.03175612,0.005946326,0.002242556,0.001282251,0.000706079,0.02861099,0.001489785,0.8419902],"genre_scores_gemma":[0.6183473,0.01448329,0.02317018,0.003243774,0.0007776968,0.0005591698,0.02695867,0.0004646808,0.3119953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1096169,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624758104325131,"score_gpt":0.2428788606572536,"score_spread":0.2166312796140023,"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."}}