{"id":"W4255093289","doi":"10.1139/o00-068","title":"Attraction vs. repulsion: The growth cone decides","year":2000,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Growth cone; Axon; Cone (formal languages); Axon guidance; Neuroscience; Attraction; Biology; Extracellular; Anatomy; Cell biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006464956,0.0002792365,0.0004094716,0.0002876538,0.0005224023,0.002374126,0.0004630693,0.001184249,0.00366964],"category_scores_gemma":[0.001008222,0.0001813104,0.0002127155,0.0002039865,0.001854733,0.001743868,0.000713792,0.001335917,0.001538655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743611,"about_ca_system_score_gemma":0.0006619233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012022,"about_ca_topic_score_gemma":0.001829808,"domain_scores_codex":[0.9993789,0.00006812324,0.0000219055,0.0001256563,0.0002684089,0.0001369251],"domain_scores_gemma":[0.9993987,0.0002215424,0.0000759521,0.00002895624,0.0001066916,0.0001680436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001007741,0.00006702213,0.004799214,0.001034979,0.00005068025,0.0008918337,0.000935903,0.0009021261,0.6438165,0.2475004,0.01027392,0.08871973],"study_design_scores_gemma":[0.0003645697,0.001158845,0.03738068,0.0009813019,0.0002176893,0.005846108,0.004073674,0.01489241,0.3326442,0.3592269,0.2428615,0.0003521741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6078091,0.05286048,0.04416731,0.02560657,0.003322093,0.0001398982,0.0007777952,0.0005757873,0.264741],"genre_scores_gemma":[0.9580293,0.012581,0.005075977,0.003704234,0.0006450464,0.00004663783,0.0001897372,0.0001373382,0.01959082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00366964,"threshold_uncertainty_score":0.01227617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074299833992975,"score_gpt":0.2476859309287578,"score_spread":0.226942932588828,"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."}}