{"id":"W6930583400","doi":"10.5281/zenodo.13800496","title":"Ozyptila praticola","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Window (computing); Time line; Data source","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006310421,0.0001025094,0.00008437051,0.000194391,0.001194814,0.002871488,0.001369772,0.00003771123,0.003144418],"category_scores_gemma":[0.0002472991,0.00009725749,0.00004498199,0.000715267,0.00005430194,0.0004322616,0.001110488,0.0003121705,0.01544377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005785116,"about_ca_system_score_gemma":0.000004737467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006086845,"about_ca_topic_score_gemma":3.879957e-8,"domain_scores_codex":[0.9986255,0.000225689,0.0001513487,0.0004159782,0.0003064909,0.0002750444],"domain_scores_gemma":[0.9992114,0.00003069395,0.00002931223,0.0004419754,0.0001579285,0.0001286836],"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":[0.000003506009,0.00005377121,6.902266e-7,0.00006831015,0.00002625177,0.00006497558,0.001552884,0.0001154136,0.001153669,0.1656351,0.1946062,0.6367193],"study_design_scores_gemma":[0.00009161037,0.0001122664,0.00007350242,0.00003016962,0.000003343827,0.0001567967,0.00002835333,0.06555113,0.0001388719,0.0009453514,0.9327526,0.0001159708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002599226,0.0004710937,0.667655,0.006487185,0.0006574175,0.0003451039,0.0000297629,0.006771186,0.314984],"genre_scores_gemma":[0.9733266,0.00007952535,0.01237473,0.0005076161,0.0006250829,6.132961e-8,0.0003394677,0.001615988,0.01113098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9707273,"threshold_uncertainty_score":0.9981636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248119311099472,"score_gpt":0.2546752280114928,"score_spread":0.2321940349004981,"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."}}