{"id":"W6930291167","doi":"10.5281/zenodo.11767976","title":"Seo 101 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patience; Search engine optimization; Work (physics); Agency (philosophy); Organic search; String (physics)","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":[0.000378035,0.0002149585,0.0001931018,0.0003903599,0.0005951661,0.00144686,0.0007303873,0.0001799219,0.6456482],"category_scores_gemma":[0.0001552004,0.0002243669,0.0000665986,0.0004449415,0.0001073272,0.0001384722,0.0006746473,0.000251211,0.5662923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132532,"about_ca_system_score_gemma":0.000005661302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001969296,"about_ca_topic_score_gemma":0.000001128362,"domain_scores_codex":[0.9982373,0.0002114765,0.0002450023,0.0005739441,0.0004151881,0.0003171432],"domain_scores_gemma":[0.9990088,0.000007130464,0.0001642989,0.0004889278,0.0001767533,0.0001541322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355993,0.00004812611,4.249807e-8,0.0001493551,0.00001822787,0.00002091456,0.0001868796,0.000001185645,0.05063478,0.0008026062,0.9382175,0.009906846],"study_design_scores_gemma":[0.000154337,0.00005752582,0.000009929199,0.0001185588,0.00002515205,0.00008688345,0.00008061053,0.0000330047,0.00123615,0.00006945093,0.9978905,0.0002379188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001678026,0.0001847689,0.001061913,0.0003884853,0.0008720132,0.0003858407,0.0005236386,0.002354382,0.9940612],"genre_scores_gemma":[0.003548528,0.0001707298,0.0001317789,0.0001632164,0.000791451,7.198157e-8,0.00227421,0.008029977,0.98489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0793559,"threshold_uncertainty_score":0.9995897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610705873955103,"score_gpt":0.2477471062134597,"score_spread":0.2216400474739086,"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."}}