{"id":"W6985156462","doi":"","title":"Hope in a Jar","year":2017,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"JAR; Volume (thermodynamics); JADE (particle detector); Arrow","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":[0.002266656,0.0006942225,0.0006914796,0.002543184,0.01125306,0.01242713,0.001160035,0.001784112,0.08774639],"category_scores_gemma":[0.006106573,0.0004181275,0.0005530334,0.001659379,0.005187648,0.005191242,0.004034809,0.00573104,0.01843136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01310877,"about_ca_system_score_gemma":0.02340011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.281709,"about_ca_topic_score_gemma":0.5631872,"domain_scores_codex":[0.9981989,0.0002358923,0.00005670429,0.0001833669,0.001061216,0.0002638331],"domain_scores_gemma":[0.9963632,0.0002567066,0.00009086241,0.0002930851,0.001432792,0.001563367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001916202,0.00002058912,0.0001334703,0.00002675971,0.00000455098,0.00006179522,0.0007222743,0.00002834336,0.000151494,0.09065226,0.8933638,0.01481552],"study_design_scores_gemma":[0.000002685375,0.000002817783,0.0001342874,0.00002716627,0.00000197818,0.00002154635,0.0005174131,0.0000187472,0.00005858174,0.003995602,0.9952127,0.000006469492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00303361,0.01030733,0.00463123,0.106602,0.04016698,0.0001775913,0.001595088,0.001380221,0.832106],"genre_scores_gemma":[0.02743792,0.004954827,0.003318174,0.009111352,0.002781962,0.00005025055,0.0005532524,0.0007689547,0.9510233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.281709,"threshold_uncertainty_score":0.5601385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277135478214147,"score_gpt":0.2462471914834677,"score_spread":0.2334758367013263,"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."}}