{"id":"W6931357871","doi":"10.5281/zenodo.7613807","title":"kuo-lab/simplelocomotionmodel: Publication release","year":2023,"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":"University of Calgary","funders":"","keywords":"Quality (philosophy); Action (physics); Context (archaeology); Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004274115,0.0002072501,0.0001706244,0.000400911,0.0005170199,0.0004083545,0.0009198068,0.0002492712,0.01301799],"category_scores_gemma":[0.0006886854,0.000235467,0.000103083,0.0004588406,0.0001147645,0.00001145584,0.001085495,0.0002017123,0.008624073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007213014,"about_ca_system_score_gemma":0.000005724329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005783885,"about_ca_topic_score_gemma":0.000007503987,"domain_scores_codex":[0.9983483,0.0002098794,0.000237218,0.0006350176,0.0002736126,0.0002959537],"domain_scores_gemma":[0.9982501,0.000004517622,0.0001991062,0.0009677467,0.000441634,0.000136871],"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":[0.00001027106,0.00005861121,7.806602e-7,0.00003227858,0.000080456,0.000003840844,0.00001798446,0.000003383521,0.006784552,0.0002253515,0.9562155,0.03656701],"study_design_scores_gemma":[0.0001824534,0.00008879648,0.00001686167,0.00002773315,0.00003064342,0.00002177008,0.00001849931,0.00009527503,0.002359786,0.00003643682,0.996886,0.0002358018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009191297,0.0002081955,0.01513899,0.0004128917,0.00004456049,0.0006035998,0.0002869095,0.003376763,0.9798362],"genre_scores_gemma":[0.01270528,0.002431368,0.0009638043,0.0004475416,0.001093733,6.16978e-7,0.04488345,0.03295082,0.9045234],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07531279,"threshold_uncertainty_score":0.9921478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199941525980556,"score_gpt":0.2615827584410467,"score_spread":0.2415886058429911,"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."}}