{"id":"W6949096518","doi":"10.5281/zenodo.12504903","title":"friendly print &amp; pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Dysgeusia; Subpoena; TSG101; Headline; Limiting","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007135423,0.002039537,0.001567207,0.002384077,0.002501829,0.007255509,0.002697093,0.002553347,0.9380148],"category_scores_gemma":[0.004769474,0.001247972,0.001232556,0.001880175,0.001135548,0.006645974,0.003875925,0.003962353,0.9483101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349369,"about_ca_system_score_gemma":0.001436381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760823,"about_ca_topic_score_gemma":0.003266058,"domain_scores_codex":[0.9991063,0.00005250098,0.00004909214,0.0001755527,0.0004911507,0.0001253637],"domain_scores_gemma":[0.9969176,0.0003642534,0.00009143169,0.000438453,0.001599045,0.0005892337],"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":[0.00008113598,0.00004695888,0.00004783454,0.0004207459,0.000004895188,0.000117541,0.00007626288,0.00008217345,0.003536485,0.001781225,0.9166938,0.07711092],"study_design_scores_gemma":[0.00001216992,0.00001949165,0.000137972,0.00007285675,0.00000305179,0.0001005127,0.00005788969,0.00004353504,0.001463948,0.0005890903,0.9974858,0.00001378276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004032743,0.000783841,0.00324349,0.001214668,0.003265682,0.0002327825,0.004377421,0.007787249,0.9786916],"genre_scores_gemma":[0.001417469,0.0005689311,0.001102127,0.000641852,0.0003213877,0.00008159197,0.001868812,0.002798934,0.991199],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06198519,"threshold_uncertainty_score":0.08841437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502923243237356,"score_gpt":0.2604494530521848,"score_spread":0.2454202206198112,"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."}}