{"id":"W4206928375","doi":"10.1002/cncy.22540","title":"A different kind of smart: What pathologists can learn from an octopus","year":2022,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"octopus (software); Medicine; Medical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004583725,0.0006683095,0.0004596335,0.001376995,0.0105057,0.01133587,0.001446393,0.006258712,0.009100448],"category_scores_gemma":[0.01808137,0.0005159053,0.000659768,0.0006239491,0.01872321,0.01756307,0.008858974,0.01750379,0.002603598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004606278,"about_ca_system_score_gemma":0.005660169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005328353,"about_ca_topic_score_gemma":0.02000695,"domain_scores_codex":[0.9969121,0.001738403,0.00008112941,0.000216766,0.000434686,0.000616752],"domain_scores_gemma":[0.991398,0.003116922,0.0005866954,0.0004805019,0.0008114168,0.003606436],"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":[0.0001921401,0.0003326782,0.01020038,0.0009258846,0.00004580417,0.007175913,0.308927,0.0001745635,0.001327622,0.03904972,0.5337278,0.09792052],"study_design_scores_gemma":[0.0000362049,0.0001706559,0.003248814,0.002106301,0.00002194182,0.005213889,0.2877809,0.0001149306,0.0004979549,0.027759,0.6729686,0.00008080151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06241316,0.03710007,0.001893156,0.7965472,0.0186825,0.00009916923,0.0001504291,0.0001326535,0.08298162],"genre_scores_gemma":[0.4130596,0.03968993,0.003233753,0.4553652,0.01330295,0.0001452465,0.0002747738,0.0002701426,0.07465847],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01133587,"threshold_uncertainty_score":0.03342104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219270582588384,"score_gpt":0.4268831425198488,"score_spread":0.3049560842610104,"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."}}