{"id":"W6931489891","doi":"10.5281/zenodo.5317220","title":"Macrohydnobius matthewsii Peck & Cook 2009, new combination","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human Resources and Workforce","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Basal (medicine); French horn; Peck (Imperial); Line (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001713044,0.0005586641,0.0003916828,0.001653592,0.001823145,0.0004899895,0.0006869694,0.0005091266,0.01187244],"category_scores_gemma":[0.0005551119,0.0004412834,0.0001307627,0.00116085,0.001042072,0.001102882,0.001031417,0.000705915,0.003592809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036154,"about_ca_system_score_gemma":0.000909098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03632096,"about_ca_topic_score_gemma":0.1294633,"domain_scores_codex":[0.9997641,0.00001756439,0.00002256657,0.00007792551,0.00009162344,0.00002613463],"domain_scores_gemma":[0.9997619,0.00002068507,0.0000813742,0.00003552658,0.00006770967,0.0000327749],"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":[0.0005528938,0.0001375635,0.1008302,0.001412434,0.0001292739,0.004442083,0.003752124,0.0006203306,0.01871357,0.005638234,0.08297352,0.7807978],"study_design_scores_gemma":[0.00007538196,0.000213346,0.4686139,0.001109172,0.0001432688,0.01016276,0.002210247,0.0005865074,0.001437834,0.001288703,0.5140948,0.00006414054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3864524,0.03155601,0.008169034,0.001346872,0.001984622,0.001637843,0.009935642,0.0007225794,0.558195],"genre_scores_gemma":[0.9445772,0.008719238,0.008512641,0.0009000882,0.0006881545,0.0004337316,0.004654061,0.00006271277,0.03145223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03632096,"threshold_uncertainty_score":0.07221907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633181086162175,"score_gpt":0.2815273400886706,"score_spread":0.2451955292270488,"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."}}