{"id":"W2140445067","doi":"10.1158/1535-7163.mct-06-0593","title":"A novel three-dimensional model to quantify metastatic melanoma invasion","year":2007,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Achievement Rewards for College Scientists Foundation","keywords":"In vivo; Metastasis; Melanoma; Cancer research; Metastatic melanoma; Cell culture; In vitro; Biology; Cell; Cancer; Matrix (chemical analysis); Chemistry; Biotechnology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005362192,0.0001974346,0.0001893437,0.0001776782,0.00005574508,0.00003289864,0.0003086739,0.00009382446,0.00004890951],"category_scores_gemma":[0.00002852843,0.00018668,0.00007652799,0.0004350398,0.00005570116,0.00003716865,0.0001048222,0.0003059876,0.00006253034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740967,"about_ca_system_score_gemma":0.0000880704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006822729,"about_ca_topic_score_gemma":0.000138127,"domain_scores_codex":[0.9982175,0.00001421687,0.000269665,0.0002540525,0.0006904862,0.0005540858],"domain_scores_gemma":[0.9992125,0.00009338493,0.00002205308,0.0003459548,0.00009339012,0.0002326871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000331839,0.00004473503,0.0002154527,0.00004763036,0.0001630506,0.00003218819,0.0001011922,0.1496748,0.8167744,0.0009800619,0.00005786632,0.03187538],"study_design_scores_gemma":[0.0004894796,0.00005419246,0.001244522,0.00007203842,0.00004724699,0.000009343241,0.000008600499,0.7038525,0.2899765,0.001035997,0.002890861,0.000318693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3748424,0.0008704565,0.6230854,0.0003819901,0.0001743248,0.0002010621,0.00001240892,0.0001261329,0.0003058393],"genre_scores_gemma":[0.9429629,0.00002622334,0.05527452,0.00153749,0.00004037986,0.00003176362,0.000005227894,0.00007901724,0.00004250796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5681205,"threshold_uncertainty_score":0.761259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08281787466730878,"score_gpt":0.3430587174017718,"score_spread":0.260240842734463,"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."}}