{"id":"W2037024981","doi":"10.1063/1.2125688","title":"Mechanisms of heterogeneous crystal growth in atomic systems: Insights from computer simulations","year":2005,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Chemical physics; Crystallization; Crystal (programming language); Crystal growth; Melting temperature; Asymmetry; Atom (system on chip); Interface (matter); Thermodynamics; Crystallography; Chemistry; Computer science; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006654513,0.00006738615,0.0001614969,0.00002960502,0.00002343094,0.00001607042,0.0001751438,0.00002923143,0.00009103298],"category_scores_gemma":[0.00001279506,0.00004562455,0.00005491623,0.0001258945,0.00004825606,0.0002383137,0.000009527893,0.0001491827,0.00002572336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145307,"about_ca_system_score_gemma":0.00002206422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751661,"about_ca_topic_score_gemma":0.00003618906,"domain_scores_codex":[0.9991906,0.00007342515,0.0003835024,0.00005202114,0.0002141473,0.00008629893],"domain_scores_gemma":[0.9991185,0.000407591,0.0002456196,0.00008447915,0.00009437498,0.00004941258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009628575,0.00007837855,0.001474578,0.000005005187,0.00004443335,0.000002450713,0.0006885085,0.6311889,0.3652098,0.0001981033,0.00007917144,0.0009344021],"study_design_scores_gemma":[0.0006615856,0.00009319989,0.00385898,0.00007348772,0.00005510216,0.00004669976,0.0001261828,0.5591435,0.4108993,0.02483415,0.0000795899,0.000128149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943225,0.00009387135,0.005221912,0.0001113613,0.0001257217,0.00004908774,0.00002671525,0.000004732275,0.00004413926],"genre_scores_gemma":[0.9986826,0.000003903144,0.001063938,0.00006319213,0.000175725,4.809728e-8,0.000005667929,0.000003043354,0.000001835832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07204541,"threshold_uncertainty_score":0.1860515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301308941394523,"score_gpt":0.215474066620704,"score_spread":0.2024609772067588,"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."}}