{"id":"W6961083613","doi":"10.14288/1.0169681","title":"The Atlin Claim","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; George (robot); Subject (documents); Project commissioning; Privilege (computing)","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":[0.003426353,0.0005972887,0.0007720602,0.002903032,0.01053419,0.01833496,0.001462216,0.008204504,0.1847061],"category_scores_gemma":[0.02189582,0.0005707222,0.0005574344,0.00221333,0.003598434,0.004401272,0.003972094,0.005521624,0.1068033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01017254,"about_ca_system_score_gemma":0.01455736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07167023,"about_ca_topic_score_gemma":0.1096264,"domain_scores_codex":[0.9940856,0.0002331095,0.0002415113,0.000652221,0.004032686,0.0007548793],"domain_scores_gemma":[0.9830573,0.001858347,0.0005470074,0.001900142,0.01031839,0.002318766],"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":[0.00003435407,0.00001107998,0.0002828034,0.00004658548,0.000003970758,0.0002737187,0.0002138133,0.00001186143,0.0002696838,0.01728749,0.9685121,0.01305249],"study_design_scores_gemma":[0.000002828311,0.000003400258,0.0003480114,0.00005544753,0.000003195127,0.00008642898,0.0001223961,0.00002249047,0.0001696822,0.0006321836,0.9985461,0.000007842248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003641725,0.004659032,0.001033409,0.09239373,0.05117529,0.000108682,0.001880989,0.001449156,0.843658],"genre_scores_gemma":[0.01460908,0.001106416,0.0002442708,0.01031493,0.002951908,0.00003732407,0.0007324604,0.0005548124,0.9694487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1847061,"threshold_uncertainty_score":0.6179034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822467429942972,"score_gpt":0.2731439968313084,"score_spread":0.2549193225318787,"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."}}